Overview

Dataset statistics

Number of variables71
Number of observations269
Missing cells0
Missing cells (%)0.0%
Duplicate rows166
Duplicate rows (%)61.7%
Total size in memory1.3 MiB
Average record size in memory5.0 KiB

Variable types

Categorical70
Numeric1

Warnings

Dataset has 166 (61.7%) duplicate rows Duplicates

Reproduction

Analysis started2021-05-01 08:59:00.469743
Analysis finished2021-05-01 09:00:18.447666
Duration1 minute and 17.98 seconds
Software versionpandas-profiling v2.11.0
Download configurationconfig.yaml

Variables

Gender
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size18.5 KiB
Female
181 
Male
88 

Length

Max length6
Median length6
Mean length5.345724907
Min length4

Characters and Unicode

Total characters1438
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMale
2nd rowFemale
3rd rowFemale
4th rowMale
5th rowFemale
ValueCountFrequency (%)
Female181
67.3%
Male88
32.7%
2021-05-01T14:30:18.831624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:18.998522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
female181
67.3%
male88
32.7%

Most occurring characters

ValueCountFrequency (%)
e450
31.3%
a269
18.7%
l269
18.7%
F181
12.6%
m181
12.6%
M88
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1169
81.3%
Uppercase Letter269
 
18.7%

Most frequent character per category

ValueCountFrequency (%)
e450
38.5%
a269
23.0%
l269
23.0%
m181
15.5%
ValueCountFrequency (%)
F181
67.3%
M88
32.7%

Most occurring scripts

ValueCountFrequency (%)
Latin1438
100.0%

Most frequent character per script

ValueCountFrequency (%)
e450
31.3%
a269
18.7%
l269
18.7%
F181
12.6%
m181
12.6%
M88
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1438
100.0%

Most frequent character per block

ValueCountFrequency (%)
e450
31.3%
a269
18.7%
l269
18.7%
F181
12.6%
m181
12.6%
M88
 
6.1%

Age
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
31-40 years
81 
21-30 years
79 
41-50 yaers
70 
Less than 20 years
20 
51 years and above
19 

Length

Max length18
Median length11
Mean length12.01486989
Min length11

Characters and Unicode

Total characters3232
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31-40 years
2nd row21-30 years
3rd row21-30 years
4th row21-30 years
5th row21-30 years
ValueCountFrequency (%)
31-40 years81
30.1%
21-30 years79
29.4%
41-50 yaers70
26.0%
Less than 20 years20
 
7.4%
51 years and above19
 
7.1%
2021-05-01T14:30:19.399271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:19.569817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
years199
32.3%
31-4081
13.1%
21-3079
 
12.8%
yaers70
 
11.4%
41-5070
 
11.4%
less20
 
3.2%
than20
 
3.2%
2020
 
3.2%
above19
 
3.1%
5119
 
3.1%

Most occurring characters

ValueCountFrequency (%)
347
10.7%
a327
10.1%
s309
9.6%
e308
9.5%
y269
8.3%
r269
8.3%
0250
7.7%
1249
7.7%
-230
7.1%
3160
 
5.0%
Other values (11)514
15.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1637
50.6%
Decimal Number998
30.9%
Space Separator347
 
10.7%
Dash Punctuation230
 
7.1%
Uppercase Letter20
 
0.6%

Most frequent character per category

ValueCountFrequency (%)
a327
20.0%
s309
18.9%
e308
18.8%
y269
16.4%
r269
16.4%
n39
 
2.4%
t20
 
1.2%
h20
 
1.2%
d19
 
1.2%
b19
 
1.2%
Other values (2)38
 
2.3%
ValueCountFrequency (%)
0250
25.1%
1249
24.9%
3160
16.0%
4151
15.1%
299
 
9.9%
589
 
8.9%
ValueCountFrequency (%)
-230
100.0%
ValueCountFrequency (%)
347
100.0%
ValueCountFrequency (%)
L20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1657
51.3%
Common1575
48.7%

Most frequent character per script

ValueCountFrequency (%)
a327
19.7%
s309
18.6%
e308
18.6%
y269
16.2%
r269
16.2%
n39
 
2.4%
L20
 
1.2%
t20
 
1.2%
h20
 
1.2%
d19
 
1.1%
Other values (3)57
 
3.4%
ValueCountFrequency (%)
347
22.0%
0250
15.9%
1249
15.8%
-230
14.6%
3160
10.2%
4151
9.6%
299
 
6.3%
589
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII3232
100.0%

Most frequent character per block

ValueCountFrequency (%)
347
10.7%
a327
10.1%
s309
9.6%
e308
9.5%
y269
8.3%
r269
8.3%
0250
7.7%
1249
7.7%
-230
7.1%
3160
 
5.0%
Other values (11)514
15.9%

City
Categorical

Distinct11
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size19.1 KiB
Delhi
58 
Greater Noida
43 
Noida
40 
Bangalore
37 
Karnal
27 
Other values (6)
64 

Length

Max length13
Median length7
Mean length7.721189591
Min length5

Characters and Unicode

Total characters2077
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDelhi
2nd rowDelhi
3rd rowGreater Noida
4th rowKarnal
5th rowBangalore
ValueCountFrequency (%)
Delhi58
21.6%
Greater Noida43
16.0%
Noida40
14.9%
Bangalore 37
13.8%
Karnal 27
10.0%
Ghaziabad18
 
6.7%
Solan18
 
6.7%
Gurgaon 12
 
4.5%
Merrut9
 
3.3%
Moradabad5
 
1.9%
2021-05-01T14:30:20.072964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
noida83
26.6%
delhi58
18.6%
greater43
13.8%
bangalore37
11.9%
karnal27
 
8.7%
ghaziabad18
 
5.8%
solan18
 
5.8%
gurgaon12
 
3.8%
merrut9
 
2.9%
moradabad5
 
1.6%

Most occurring characters

ValueCountFrequency (%)
a357
17.2%
e190
 
9.1%
r187
 
9.0%
i159
 
7.7%
o155
 
7.5%
l142
 
6.8%
119
 
5.7%
d113
 
5.4%
n96
 
4.6%
N83
 
4.0%
Other values (13)476
22.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1646
79.2%
Uppercase Letter312
 
15.0%
Space Separator119
 
5.7%

Most frequent character per category

ValueCountFrequency (%)
a357
21.7%
e190
11.5%
r187
11.4%
i159
9.7%
o155
9.4%
l142
 
8.6%
d113
 
6.9%
n96
 
5.8%
h80
 
4.9%
t52
 
3.2%
Other values (5)115
 
7.0%
ValueCountFrequency (%)
N83
26.6%
G73
23.4%
D58
18.6%
B39
12.5%
K27
 
8.7%
S18
 
5.8%
M14
 
4.5%
ValueCountFrequency (%)
119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1958
94.3%
Common119
 
5.7%

Most frequent character per script

ValueCountFrequency (%)
a357
18.2%
e190
9.7%
r187
9.6%
i159
8.1%
o155
 
7.9%
l142
 
7.3%
d113
 
5.8%
n96
 
4.9%
N83
 
4.2%
h80
 
4.1%
Other values (12)396
20.2%
ValueCountFrequency (%)
119
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2077
100.0%

Most frequent character per block

ValueCountFrequency (%)
a357
17.2%
e190
 
9.1%
r187
 
9.0%
i159
 
7.7%
o155
 
7.5%
l142
 
6.8%
119
 
5.7%
d113
 
5.4%
n96
 
4.6%
N83
 
4.0%
Other values (13)476
22.9%

Pincode
Real number (ℝ≥0)

Distinct39
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220465.7472
Minimum110008
Maximum560037
Zeros0
Zeros (%)0.0%
Memory size4.2 KiB
2021-05-01T14:30:20.365784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum110008
5-th percentile110011
Q1122018
median201303
Q3201310
95-th percentile560013
Maximum560037
Range450029
Interquartile range (IQR)79292

Descriptive statistics

Standard deviation140524.3411
Coefficient of variation (CV)0.6373976131
Kurtosis1.690834547
Mean220465.7472
Median Absolute Deviation (MAD)48698
Skewness1.748322464
Sum59305286
Variance1.974709043 × 1010
MonotocityNot monotonic
2021-05-01T14:30:20.565065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20130838
 
14.1%
13200119
 
7.1%
20131018
 
6.7%
11004416
 
5.9%
1732129
 
3.3%
2500019
 
3.3%
1732299
 
3.3%
5600378
 
3.0%
1320368
 
3.0%
5600108
 
3.0%
Other values (29)127
47.2%
ValueCountFrequency (%)
1100087
2.6%
1100094
 
1.5%
1100117
2.6%
1100146
 
2.2%
1100186
 
2.2%
1100304
 
1.5%
1100394
 
1.5%
1100424
 
1.5%
11004416
5.9%
1220094
 
1.5%
ValueCountFrequency (%)
5600378
3.0%
5600184
1.5%
5600133
 
1.1%
5600108
3.0%
5600034
1.5%
5600024
1.5%
5600011
 
0.4%
5300685
1.9%
2500019
3.3%
2440015
1.9%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.1 KiB
Above 4 years
98 
2-3 years
65 
3-4 years
47 
Less than 1 year
43 
1-2 years
16 

Length

Max length16
Median length13
Mean length11.57620818
Min length9

Characters and Unicode

Total characters3114
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAbove 4 years
2nd rowAbove 4 years
3rd row3-4 years
4th row3-4 years
5th row2-3 years
ValueCountFrequency (%)
Above 4 years98
36.4%
2-3 years65
24.2%
3-4 years47
17.5%
Less than 1 year43
16.0%
1-2 years16
 
5.9%
2021-05-01T14:30:21.120005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:21.293895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
years226
31.3%
498
13.6%
above98
13.6%
2-365
 
9.0%
3-447
 
6.5%
than43
 
6.0%
less43
 
6.0%
143
 
6.0%
year43
 
6.0%
1-216
 
2.2%

Most occurring characters

ValueCountFrequency (%)
453
14.5%
e410
13.2%
a312
10.0%
s312
10.0%
y269
8.6%
r269
8.6%
4145
 
4.7%
-128
 
4.1%
3112
 
3.6%
A98
 
3.1%
Other values (9)606
19.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1995
64.1%
Space Separator453
 
14.5%
Decimal Number397
 
12.7%
Uppercase Letter141
 
4.5%
Dash Punctuation128
 
4.1%

Most frequent character per category

ValueCountFrequency (%)
e410
20.6%
a312
15.6%
s312
15.6%
y269
13.5%
r269
13.5%
b98
 
4.9%
o98
 
4.9%
v98
 
4.9%
t43
 
2.2%
h43
 
2.2%
ValueCountFrequency (%)
4145
36.5%
3112
28.2%
281
20.4%
159
14.9%
ValueCountFrequency (%)
A98
69.5%
L43
30.5%
ValueCountFrequency (%)
453
100.0%
ValueCountFrequency (%)
-128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2136
68.6%
Common978
31.4%

Most frequent character per script

ValueCountFrequency (%)
e410
19.2%
a312
14.6%
s312
14.6%
y269
12.6%
r269
12.6%
A98
 
4.6%
b98
 
4.6%
o98
 
4.6%
v98
 
4.6%
L43
 
2.0%
Other values (3)129
 
6.0%
ValueCountFrequency (%)
453
46.3%
4145
 
14.8%
-128
 
13.1%
3112
 
11.5%
281
 
8.3%
159
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3114
100.0%

Most frequent character per block

ValueCountFrequency (%)
453
14.5%
e410
13.2%
a312
10.0%
s312
10.0%
y269
8.6%
r269
8.6%
4145
 
4.7%
-128
 
4.1%
3112
 
3.6%
A98
 
3.1%
Other values (9)606
19.5%
Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
Less than 10 times
114 
31-40 times
63 
41 times and above
47 
11-20 times
29 
21-30 times
 
10

Length

Max length18
Median length18
Mean length15.34572491
Min length11

Characters and Unicode

Total characters4128
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31-40 times
2nd row41 times and above
3rd row41 times and above
4th rowLess than 10 times
5th row11-20 times
ValueCountFrequency (%)
Less than 10 times114
42.4%
31-40 times63
23.4%
41 times and above47
17.5%
11-20 times29
 
10.8%
21-30 times10
 
3.7%
42 times and above6
 
2.2%
2021-05-01T14:30:21.768124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:21.925631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
times269
30.8%
10114
13.1%
than114
13.1%
less114
13.1%
31-4063
 
7.2%
and53
 
6.1%
above53
 
6.1%
4147
 
5.4%
11-2029
 
3.3%
21-3010
 
1.1%

Most occurring characters

ValueCountFrequency (%)
603
14.6%
s497
12.0%
e436
10.6%
t383
9.3%
1292
 
7.1%
i269
 
6.5%
m269
 
6.5%
a220
 
5.3%
0216
 
5.2%
n167
 
4.0%
Other values (10)776
18.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2567
62.2%
Decimal Number742
 
18.0%
Space Separator603
 
14.6%
Uppercase Letter114
 
2.8%
Dash Punctuation102
 
2.5%

Most frequent character per category

ValueCountFrequency (%)
s497
19.4%
e436
17.0%
t383
14.9%
i269
10.5%
m269
10.5%
a220
8.6%
n167
 
6.5%
h114
 
4.4%
d53
 
2.1%
b53
 
2.1%
Other values (2)106
 
4.1%
ValueCountFrequency (%)
1292
39.4%
0216
29.1%
4116
 
15.6%
373
 
9.8%
245
 
6.1%
ValueCountFrequency (%)
-102
100.0%
ValueCountFrequency (%)
603
100.0%
ValueCountFrequency (%)
L114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2681
64.9%
Common1447
35.1%

Most frequent character per script

ValueCountFrequency (%)
s497
18.5%
e436
16.3%
t383
14.3%
i269
10.0%
m269
10.0%
a220
8.2%
n167
 
6.2%
L114
 
4.3%
h114
 
4.3%
d53
 
2.0%
Other values (3)159
 
5.9%
ValueCountFrequency (%)
603
41.7%
1292
20.2%
0216
 
14.9%
4116
 
8.0%
-102
 
7.0%
373
 
5.0%
245
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII4128
100.0%

Most frequent character per block

ValueCountFrequency (%)
603
14.6%
s497
12.0%
e436
10.6%
t383
9.3%
1292
 
7.1%
i269
 
6.5%
m269
 
6.5%
a220
 
5.3%
0216
 
5.2%
n167
 
4.0%
Other values (10)776
18.8%

Source
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
Mobile internet
142 
Wi-Fi
76 
Mobile Internet
47 
Dial-up
 
4

Length

Max length15
Median length15
Mean length12.05576208
Min length5

Characters and Unicode

Total characters3243
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDial-up
2nd rowWi-Fi
3rd rowMobile Internet
4th rowMobile Internet
5th rowWi-Fi
ValueCountFrequency (%)
Mobile internet142
52.8%
Wi-Fi76
28.3%
Mobile Internet47
 
17.5%
Dial-up4
 
1.5%
2021-05-01T14:30:22.364571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:22.483749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
mobile189
41.3%
internet189
41.3%
wi-fi76
16.6%
dial-up4
 
0.9%

Most occurring characters

ValueCountFrequency (%)
e567
17.5%
i487
15.0%
n378
11.7%
t378
11.7%
l193
 
6.0%
M189
 
5.8%
o189
 
5.8%
b189
 
5.8%
189
 
5.8%
r189
 
5.8%
Other values (8)295
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2582
79.6%
Uppercase Letter392
 
12.1%
Space Separator189
 
5.8%
Dash Punctuation80
 
2.5%

Most frequent character per category

ValueCountFrequency (%)
e567
22.0%
i487
18.9%
n378
14.6%
t378
14.6%
l193
 
7.5%
o189
 
7.3%
b189
 
7.3%
r189
 
7.3%
a4
 
0.2%
u4
 
0.2%
ValueCountFrequency (%)
M189
48.2%
W76
19.4%
F76
19.4%
I47
 
12.0%
D4
 
1.0%
ValueCountFrequency (%)
-80
100.0%
ValueCountFrequency (%)
189
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2974
91.7%
Common269
 
8.3%

Most frequent character per script

ValueCountFrequency (%)
e567
19.1%
i487
16.4%
n378
12.7%
t378
12.7%
l193
 
6.5%
M189
 
6.4%
o189
 
6.4%
b189
 
6.4%
r189
 
6.4%
W76
 
2.6%
Other values (6)139
 
4.7%
ValueCountFrequency (%)
189
70.3%
-80
29.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII3243
100.0%

Most frequent character per block

ValueCountFrequency (%)
e567
17.5%
i487
15.0%
n378
11.7%
t378
11.7%
l193
 
6.0%
M189
 
5.8%
o189
 
5.8%
b189
 
5.8%
189
 
5.8%
r189
 
5.8%
Other values (8)295
9.1%

Device
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Smartphone
141 
Laptop
86 
Desktop
30 
Tablet
 
12

Length

Max length10
Median length10
Mean length8.208178439
Min length6

Characters and Unicode

Total characters2208
Distinct characters17
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDesktop
2nd rowSmartphone
3rd rowSmartphone
4th rowSmartphone
5th rowSmartphone
ValueCountFrequency (%)
Smartphone141
52.4%
Laptop86
32.0%
Desktop30
 
11.2%
Tablet12
 
4.5%
2021-05-01T14:30:22.904022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:23.051930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
smartphone141
52.4%
laptop86
32.0%
desktop30
 
11.2%
tablet12
 
4.5%

Most occurring characters

ValueCountFrequency (%)
p343
15.5%
t269
12.2%
o257
11.6%
a239
10.8%
e183
8.3%
S141
6.4%
m141
6.4%
r141
6.4%
h141
6.4%
n141
6.4%
Other values (7)212
9.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1939
87.8%
Uppercase Letter269
 
12.2%

Most frequent character per category

ValueCountFrequency (%)
p343
17.7%
t269
13.9%
o257
13.3%
a239
12.3%
e183
9.4%
m141
7.3%
r141
7.3%
h141
7.3%
n141
7.3%
s30
 
1.5%
Other values (3)54
 
2.8%
ValueCountFrequency (%)
S141
52.4%
L86
32.0%
D30
 
11.2%
T12
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Latin2208
100.0%

Most frequent character per script

ValueCountFrequency (%)
p343
15.5%
t269
12.2%
o257
11.6%
a239
10.8%
e183
8.3%
S141
6.4%
m141
6.4%
r141
6.4%
h141
6.4%
n141
6.4%
Other values (7)212
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII2208
100.0%

Most frequent character per block

ValueCountFrequency (%)
p343
15.5%
t269
12.2%
o257
11.6%
a239
10.8%
e183
8.3%
S141
6.4%
m141
6.4%
r141
6.4%
h141
6.4%
n141
6.4%
Other values (7)212
9.6%

Screen Size
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Others
134 
5.5 inches
99 
4.7 inches
29 
5 inches
 
7

Length

Max length10
Median length8
Mean length7.955390335
Min length6

Characters and Unicode

Total characters2140
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOthers
2nd row4.7 inches
3rd row5.5 inches
4th row5.5 inches
5th row4.7 inches
ValueCountFrequency (%)
Others134
49.8%
5.5 inches99
36.8%
4.7 inches29
 
10.8%
5 inches7
 
2.6%
2021-05-01T14:30:23.475666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:23.631577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
inches135
33.4%
others134
33.2%
5.599
24.5%
4.729
 
7.2%
57
 
1.7%

Most occurring characters

ValueCountFrequency (%)
h269
12.6%
e269
12.6%
s269
12.6%
5205
9.6%
135
6.3%
i135
6.3%
n135
6.3%
c135
6.3%
O134
6.3%
t134
6.3%
Other values (4)320
15.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1480
69.2%
Decimal Number263
 
12.3%
Space Separator135
 
6.3%
Uppercase Letter134
 
6.3%
Other Punctuation128
 
6.0%

Most frequent character per category

ValueCountFrequency (%)
h269
18.2%
e269
18.2%
s269
18.2%
i135
9.1%
n135
9.1%
c135
9.1%
t134
9.1%
r134
9.1%
ValueCountFrequency (%)
5205
77.9%
429
 
11.0%
729
 
11.0%
ValueCountFrequency (%)
O134
100.0%
ValueCountFrequency (%)
.128
100.0%
ValueCountFrequency (%)
135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1614
75.4%
Common526
 
24.6%

Most frequent character per script

ValueCountFrequency (%)
h269
16.7%
e269
16.7%
s269
16.7%
i135
8.4%
n135
8.4%
c135
8.4%
O134
8.3%
t134
8.3%
r134
8.3%
ValueCountFrequency (%)
5205
39.0%
135
25.7%
.128
24.3%
429
 
5.5%
729
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII2140
100.0%

Most frequent character per block

ValueCountFrequency (%)
h269
12.6%
e269
12.6%
s269
12.6%
5205
9.6%
135
6.3%
i135
6.3%
n135
6.3%
c135
6.3%
O134
6.3%
t134
6.3%
Other values (4)320
15.0%

Operating System
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
Window/windows Mobile
122 
Android
85 
IOS/Mac
62 

Length

Max length21
Median length7
Mean length13.34944238
Min length7

Characters and Unicode

Total characters3591
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWindow/windows Mobile
2nd rowIOS/Mac
3rd rowAndroid
4th rowIOS/Mac
5th rowIOS/Mac
ValueCountFrequency (%)
Window/windows Mobile122
45.4%
Android85
31.6%
IOS/Mac62
23.0%
2021-05-01T14:30:24.006888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:24.131888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
mobile122
31.2%
window/windows122
31.2%
android85
21.7%
ios/mac62
15.9%

Most occurring characters

ValueCountFrequency (%)
i451
12.6%
o451
12.6%
d414
11.5%
w366
10.2%
n329
 
9.2%
/184
 
5.1%
M184
 
5.1%
W122
 
3.4%
s122
 
3.4%
122
 
3.4%
Other values (10)846
23.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2708
75.4%
Uppercase Letter577
 
16.1%
Other Punctuation184
 
5.1%
Space Separator122
 
3.4%

Most frequent character per category

ValueCountFrequency (%)
i451
16.7%
o451
16.7%
d414
15.3%
w366
13.5%
n329
12.1%
s122
 
4.5%
b122
 
4.5%
l122
 
4.5%
e122
 
4.5%
r85
 
3.1%
Other values (2)124
 
4.6%
ValueCountFrequency (%)
M184
31.9%
W122
21.1%
A85
14.7%
I62
 
10.7%
O62
 
10.7%
S62
 
10.7%
ValueCountFrequency (%)
/184
100.0%
ValueCountFrequency (%)
122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3285
91.5%
Common306
 
8.5%

Most frequent character per script

ValueCountFrequency (%)
i451
13.7%
o451
13.7%
d414
12.6%
w366
11.1%
n329
10.0%
M184
 
5.6%
W122
 
3.7%
s122
 
3.7%
b122
 
3.7%
l122
 
3.7%
Other values (8)602
18.3%
ValueCountFrequency (%)
/184
60.1%
122
39.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII3591
100.0%

Most frequent character per block

ValueCountFrequency (%)
i451
12.6%
o451
12.6%
d414
11.5%
w366
10.2%
n329
 
9.2%
/184
 
5.1%
M184
 
5.1%
W122
 
3.4%
s122
 
3.4%
122
 
3.4%
Other values (10)846
23.6%

Browser
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
Google chrome
216 
Safari
40 
Opera
 
8
Mozilla Firefox
 
5

Length

Max length15
Median length13
Mean length11.75836431
Min length5

Characters and Unicode

Total characters3163
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGoogle chrome
2nd rowGoogle chrome
3rd rowGoogle chrome
4th rowSafari
5th rowSafari
ValueCountFrequency (%)
Google chrome216
80.3%
Safari40
 
14.9%
Opera8
 
3.0%
Mozilla Firefox5
 
1.9%
2021-05-01T14:30:24.463702image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:24.573076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
chrome216
44.1%
google216
44.1%
safari40
 
8.2%
opera8
 
1.6%
firefox5
 
1.0%
mozilla5
 
1.0%

Most occurring characters

ValueCountFrequency (%)
o658
20.8%
e445
14.1%
r269
8.5%
l226
 
7.1%
221
 
7.0%
G216
 
6.8%
g216
 
6.8%
c216
 
6.8%
h216
 
6.8%
m216
 
6.8%
Other values (10)264
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2668
84.4%
Uppercase Letter274
 
8.7%
Space Separator221
 
7.0%

Most frequent character per category

ValueCountFrequency (%)
o658
24.7%
e445
16.7%
r269
10.1%
l226
 
8.5%
g216
 
8.1%
c216
 
8.1%
h216
 
8.1%
m216
 
8.1%
a93
 
3.5%
i50
 
1.9%
Other values (4)63
 
2.4%
ValueCountFrequency (%)
G216
78.8%
S40
 
14.6%
O8
 
2.9%
M5
 
1.8%
F5
 
1.8%
ValueCountFrequency (%)
221
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2942
93.0%
Common221
 
7.0%

Most frequent character per script

ValueCountFrequency (%)
o658
22.4%
e445
15.1%
r269
9.1%
l226
 
7.7%
G216
 
7.3%
g216
 
7.3%
c216
 
7.3%
h216
 
7.3%
m216
 
7.3%
a93
 
3.2%
Other values (9)171
 
5.8%
ValueCountFrequency (%)
221
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3163
100.0%

Most frequent character per block

ValueCountFrequency (%)
o658
20.8%
e445
14.1%
r269
8.5%
l226
 
7.1%
221
 
7.0%
G216
 
6.8%
g216
 
6.8%
c216
 
6.8%
h216
 
6.8%
m216
 
6.8%
Other values (10)264
8.3%

Reference
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
Search Engine
230 
Content Marketing
 
20
Display Adverts
 
19

Length

Max length17
Median length13
Mean length13.43866171
Min length13

Characters and Unicode

Total characters3615
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSearch Engine
2nd rowSearch Engine
3rd rowSearch Engine
4th rowSearch Engine
5th rowContent Marketing
ValueCountFrequency (%)
Search Engine230
85.5%
Content Marketing20
 
7.4%
Display Adverts19
 
7.1%
2021-05-01T14:30:24.950714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:25.080745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
engine230
42.8%
search230
42.8%
marketing20
 
3.7%
content20
 
3.7%
display19
 
3.5%
adverts19
 
3.5%

Most occurring characters

ValueCountFrequency (%)
n520
14.4%
e519
14.4%
a269
7.4%
r269
7.4%
269
7.4%
i269
7.4%
g250
6.9%
S230
6.4%
c230
6.4%
h230
6.4%
Other values (14)560
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2808
77.7%
Uppercase Letter538
 
14.9%
Space Separator269
 
7.4%

Most frequent character per category

ValueCountFrequency (%)
n520
18.5%
e519
18.5%
a269
9.6%
r269
9.6%
i269
9.6%
g250
8.9%
c230
8.2%
h230
8.2%
t79
 
2.8%
s38
 
1.4%
Other values (7)135
 
4.8%
ValueCountFrequency (%)
S230
42.8%
E230
42.8%
C20
 
3.7%
M20
 
3.7%
D19
 
3.5%
A19
 
3.5%
ValueCountFrequency (%)
269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3346
92.6%
Common269
 
7.4%

Most frequent character per script

ValueCountFrequency (%)
n520
15.5%
e519
15.5%
a269
8.0%
r269
8.0%
i269
8.0%
g250
7.5%
S230
6.9%
c230
6.9%
h230
6.9%
E230
6.9%
Other values (13)330
9.9%
ValueCountFrequency (%)
269
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3615
100.0%

Most frequent character per block

ValueCountFrequency (%)
n520
14.4%
e519
14.4%
a269
7.4%
r269
7.4%
269
7.4%
i269
7.4%
g250
6.9%
S230
6.4%
c230
6.4%
h230
6.4%
Other values (14)560
15.5%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Search Engine
87 
Via application
86 
Direct URL
70 
E-mail
18 
Social Media
 
8

Length

Max length15
Median length13
Mean length12.3605948
Min length6

Characters and Unicode

Total characters3325
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSearch Engine
2nd rowVia application
3rd rowVia application
4th rowSearch Engine
5th rowVia application
ValueCountFrequency (%)
Search Engine87
32.3%
Via application86
32.0%
Direct URL70
26.0%
E-mail18
 
6.7%
Social Media8
 
3.0%
2021-05-01T14:30:25.724261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:25.859664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
engine87
16.7%
search87
16.7%
via86
16.5%
application86
16.5%
direct70
13.5%
url70
13.5%
e-mail18
 
3.5%
media8
 
1.5%
social8
 
1.5%

Most occurring characters

ValueCountFrequency (%)
i449
13.5%
a379
11.4%
n260
 
7.8%
e252
 
7.6%
c251
 
7.5%
251
 
7.5%
p172
 
5.2%
r157
 
4.7%
t156
 
4.7%
l112
 
3.4%
Other values (14)886
26.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2482
74.6%
Uppercase Letter574
 
17.3%
Space Separator251
 
7.5%
Dash Punctuation18
 
0.5%

Most frequent character per category

ValueCountFrequency (%)
i449
18.1%
a379
15.3%
n260
10.5%
e252
10.2%
c251
10.1%
p172
 
6.9%
r157
 
6.3%
t156
 
6.3%
l112
 
4.5%
o94
 
3.8%
Other values (4)200
8.1%
ValueCountFrequency (%)
E105
18.3%
S95
16.6%
V86
15.0%
D70
12.2%
U70
12.2%
R70
12.2%
L70
12.2%
M8
 
1.4%
ValueCountFrequency (%)
251
100.0%
ValueCountFrequency (%)
-18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3056
91.9%
Common269
 
8.1%

Most frequent character per script

ValueCountFrequency (%)
i449
14.7%
a379
12.4%
n260
 
8.5%
e252
 
8.2%
c251
 
8.2%
p172
 
5.6%
r157
 
5.1%
t156
 
5.1%
l112
 
3.7%
E105
 
3.4%
Other values (12)763
25.0%
ValueCountFrequency (%)
251
93.3%
-18
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII3325
100.0%

Most frequent character per block

ValueCountFrequency (%)
i449
13.5%
a379
11.4%
n260
 
7.8%
e252
 
7.6%
c251
 
7.5%
251
 
7.5%
p172
 
5.2%
r157
 
4.7%
t156
 
4.7%
l112
 
3.4%
Other values (14)886
26.6%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
more than 15 mins
123 
6-10 mins
71 
11-15 mins
46 
Less than 1 min
15 
1-5 mins
14 

Length

Max length17
Median length15
Mean length13.11152416
Min length8

Characters and Unicode

Total characters3527
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6-10 mins
2nd rowmore than 15 mins
3rd row11-15 mins
4th row6-10 mins
5th rowmore than 15 mins
ValueCountFrequency (%)
more than 15 mins123
45.7%
6-10 mins71
26.4%
11-15 mins46
 
17.1%
Less than 1 min15
 
5.6%
1-5 mins14
 
5.2%
2021-05-01T14:30:26.250680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:26.375675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
mins254
31.2%
than138
17.0%
15123
15.1%
more123
15.1%
6-1071
 
8.7%
11-1546
 
5.7%
less15
 
1.8%
115
 
1.8%
min15
 
1.8%
1-514
 
1.7%

Most occurring characters

ValueCountFrequency (%)
545
15.5%
n407
11.5%
m392
11.1%
1361
10.2%
s284
8.1%
i269
7.6%
5183
 
5.2%
e138
 
3.9%
t138
 
3.9%
h138
 
3.9%
Other values (7)672
19.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2150
61.0%
Decimal Number686
 
19.4%
Space Separator545
 
15.5%
Dash Punctuation131
 
3.7%
Uppercase Letter15
 
0.4%

Most frequent character per category

ValueCountFrequency (%)
n407
18.9%
m392
18.2%
s284
13.2%
i269
12.5%
e138
 
6.4%
t138
 
6.4%
h138
 
6.4%
a138
 
6.4%
o123
 
5.7%
r123
 
5.7%
ValueCountFrequency (%)
1361
52.6%
5183
26.7%
671
 
10.3%
071
 
10.3%
ValueCountFrequency (%)
-131
100.0%
ValueCountFrequency (%)
545
100.0%
ValueCountFrequency (%)
L15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2165
61.4%
Common1362
38.6%

Most frequent character per script

ValueCountFrequency (%)
n407
18.8%
m392
18.1%
s284
13.1%
i269
12.4%
e138
 
6.4%
t138
 
6.4%
h138
 
6.4%
a138
 
6.4%
o123
 
5.7%
r123
 
5.7%
ValueCountFrequency (%)
545
40.0%
1361
26.5%
5183
 
13.4%
-131
 
9.6%
671
 
5.2%
071
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII3527
100.0%

Most frequent character per block

ValueCountFrequency (%)
545
15.5%
n407
11.5%
m392
11.1%
1361
10.2%
s284
8.1%
i269
7.6%
5183
 
5.2%
e138
 
3.9%
t138
 
3.9%
h138
 
3.9%
Other values (7)672
19.1%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
Credit/Debit cards
148 
Cash on delivery (CoD)
76 
E-wallets (Paytm, Freecharge etc.)
45 

Length

Max length34
Median length18
Mean length21.80669145
Min length18

Characters and Unicode

Total characters5866
Distinct characters30
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowE-wallets (Paytm, Freecharge etc.)
2nd rowCredit/Debit cards
3rd rowE-wallets (Paytm, Freecharge etc.)
4th rowCredit/Debit cards
5th rowCredit/Debit cards
ValueCountFrequency (%)
Credit/Debit cards148
55.0%
Cash on delivery (CoD)76
28.3%
E-wallets (Paytm, Freecharge etc.)45
 
16.7%
2021-05-01T14:30:26.781913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:26.906906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
cards148
19.0%
credit/debit148
19.0%
on76
9.7%
cash76
9.7%
delivery76
9.7%
cod76
9.7%
freecharge45
 
5.8%
etc45
 
5.8%
e-wallets45
 
5.8%
paytm45
 
5.8%

Most occurring characters

ValueCountFrequency (%)
e673
 
11.5%
511
 
8.7%
r462
 
7.9%
t431
 
7.3%
d372
 
6.3%
i372
 
6.3%
a359
 
6.1%
C300
 
5.1%
s269
 
4.6%
c238
 
4.1%
Other values (20)1879
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4171
71.1%
Uppercase Letter659
 
11.2%
Space Separator511
 
8.7%
Other Punctuation238
 
4.1%
Open Punctuation121
 
2.1%
Close Punctuation121
 
2.1%
Dash Punctuation45
 
0.8%

Most frequent character per category

ValueCountFrequency (%)
e673
16.1%
r462
11.1%
t431
10.3%
d372
8.9%
i372
8.9%
a359
8.6%
s269
 
6.4%
c238
 
5.7%
l166
 
4.0%
o152
 
3.6%
Other values (8)677
16.2%
ValueCountFrequency (%)
C300
45.5%
D224
34.0%
E45
 
6.8%
P45
 
6.8%
F45
 
6.8%
ValueCountFrequency (%)
/148
62.2%
,45
 
18.9%
.45
 
18.9%
ValueCountFrequency (%)
-45
100.0%
ValueCountFrequency (%)
511
100.0%
ValueCountFrequency (%)
(121
100.0%
ValueCountFrequency (%)
)121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4830
82.3%
Common1036
 
17.7%

Most frequent character per script

ValueCountFrequency (%)
e673
13.9%
r462
9.6%
t431
 
8.9%
d372
 
7.7%
i372
 
7.7%
a359
 
7.4%
C300
 
6.2%
s269
 
5.6%
c238
 
4.9%
D224
 
4.6%
Other values (13)1130
23.4%
ValueCountFrequency (%)
511
49.3%
/148
 
14.3%
(121
 
11.7%
)121
 
11.7%
-45
 
4.3%
,45
 
4.3%
.45
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII5866
100.0%

Most frequent character per block

ValueCountFrequency (%)
e673
 
11.5%
511
 
8.7%
r462
 
7.9%
t431
 
7.3%
d372
 
6.3%
i372
 
6.3%
a359
 
6.1%
C300
 
5.1%
s269
 
4.6%
c238
 
4.1%
Other values (20)1879
32.0%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
Sometimes
171 
Never
48 
Frequently
35 
Very frequently
 
15

Length

Max length15
Median length9
Mean length8.750929368
Min length5

Characters and Unicode

Total characters2354
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSometimes
2nd rowVery frequently
3rd rowSometimes
4th rowNever
5th rowFrequently
ValueCountFrequency (%)
Sometimes171
63.6%
Never48
 
17.8%
Frequently35
 
13.0%
Very frequently15
 
5.6%
2021-05-01T14:30:27.281896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:27.406892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
sometimes171
60.2%
frequently50
 
17.6%
never48
 
16.9%
very15
 
5.3%

Most occurring characters

ValueCountFrequency (%)
e553
23.5%
m342
14.5%
t221
 
9.4%
S171
 
7.3%
o171
 
7.3%
i171
 
7.3%
s171
 
7.3%
r113
 
4.8%
y65
 
2.8%
q50
 
2.1%
Other values (9)326
13.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2070
87.9%
Uppercase Letter269
 
11.4%
Space Separator15
 
0.6%

Most frequent character per category

ValueCountFrequency (%)
e553
26.7%
m342
16.5%
t221
 
10.7%
o171
 
8.3%
i171
 
8.3%
s171
 
8.3%
r113
 
5.5%
y65
 
3.1%
q50
 
2.4%
u50
 
2.4%
Other values (4)163
 
7.9%
ValueCountFrequency (%)
S171
63.6%
N48
 
17.8%
F35
 
13.0%
V15
 
5.6%
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2339
99.4%
Common15
 
0.6%

Most frequent character per script

ValueCountFrequency (%)
e553
23.6%
m342
14.6%
t221
 
9.4%
S171
 
7.3%
o171
 
7.3%
i171
 
7.3%
s171
 
7.3%
r113
 
4.8%
y65
 
2.8%
q50
 
2.1%
Other values (8)311
13.3%
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2354
100.0%

Most frequent character per block

ValueCountFrequency (%)
e553
23.5%
m342
14.5%
t221
 
9.4%
S171
 
7.3%
o171
 
7.3%
i171
 
7.3%
s171
 
7.3%
r113
 
4.8%
y65
 
2.8%
q50
 
2.1%
Other values (9)326
13.8%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size22.8 KiB
Better alternative offer
133 
Promo code not applicable
54 
Change in price
37 
Lack of trust
31 
No preferred mode of payment
14 

Length

Max length28
Median length24
Mean length21.90334572
Min length13

Characters and Unicode

Total characters5892
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLack of trust
2nd rowPromo code not applicable
3rd rowPromo code not applicable
4th rowBetter alternative offer
5th rowBetter alternative offer
ValueCountFrequency (%)
Better alternative offer133
49.4%
Promo code not applicable54
20.1%
Change in price37
 
13.8%
Lack of trust31
 
11.5%
No preferred mode of payment14
 
5.2%
2021-05-01T14:30:27.781879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:27.922500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
offer133
15.0%
alternative133
15.0%
better133
15.0%
not54
 
6.1%
code54
 
6.1%
applicable54
 
6.1%
promo54
 
6.1%
of45
 
5.1%
in37
 
4.2%
change37
 
4.2%
Other values (7)155
17.4%

Most occurring characters

ValueCountFrequency (%)
e917
15.6%
t662
11.2%
620
10.5%
r563
9.6%
a456
 
7.7%
o422
 
7.2%
f325
 
5.5%
n275
 
4.7%
i261
 
4.4%
l241
 
4.1%
Other values (17)1150
19.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5003
84.9%
Space Separator620
 
10.5%
Uppercase Letter269
 
4.6%

Most frequent character per category

ValueCountFrequency (%)
e917
18.3%
t662
13.2%
r563
11.3%
a456
9.1%
o422
8.4%
f325
 
6.5%
n275
 
5.5%
i261
 
5.2%
l241
 
4.8%
c176
 
3.5%
Other values (11)705
14.1%
ValueCountFrequency (%)
B133
49.4%
P54
20.1%
C37
 
13.8%
L31
 
11.5%
N14
 
5.2%
ValueCountFrequency (%)
620
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5272
89.5%
Common620
 
10.5%

Most frequent character per script

ValueCountFrequency (%)
e917
17.4%
t662
12.6%
r563
10.7%
a456
8.6%
o422
8.0%
f325
 
6.2%
n275
 
5.2%
i261
 
5.0%
l241
 
4.6%
c176
 
3.3%
Other values (16)974
18.5%
ValueCountFrequency (%)
620
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5892
100.0%

Most frequent character per block

ValueCountFrequency (%)
e917
15.6%
t662
11.2%
620
10.5%
r563
9.6%
a456
 
7.7%
o422
 
7.2%
f325
 
5.5%
n275
 
4.7%
i261
 
4.4%
l241
 
4.1%
Other values (17)1150
19.5%

Ease of Content
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
Strongly agree (5)
164 
Agree (4)
80 
Strongly disagree (1)
18 
Indifferent (3)
 
7

Length

Max length21
Median length18
Mean length15.44609665
Min length9

Characters and Unicode

Total characters4155
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowAgree (4)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)164
61.0%
Agree (4)80
29.7%
Strongly disagree (1)18
 
6.7%
Indifferent (3)7
 
2.6%
2021-05-01T14:30:28.344357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:28.484979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree244
33.9%
strongly182
25.3%
5164
22.8%
480
 
11.1%
disagree18
 
2.5%
118
 
2.5%
indifferent7
 
1.0%
37
 
1.0%

Most occurring characters

ValueCountFrequency (%)
e538
12.9%
r451
10.9%
451
10.9%
g444
10.7%
(269
 
6.5%
)269
 
6.5%
n196
 
4.7%
t189
 
4.5%
S182
 
4.4%
o182
 
4.4%
Other values (13)984
23.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2628
63.2%
Space Separator451
 
10.9%
Uppercase Letter269
 
6.5%
Open Punctuation269
 
6.5%
Decimal Number269
 
6.5%
Close Punctuation269
 
6.5%

Most frequent character per category

ValueCountFrequency (%)
e538
20.5%
r451
17.2%
g444
16.9%
n196
 
7.5%
t189
 
7.2%
o182
 
6.9%
l182
 
6.9%
y182
 
6.9%
a182
 
6.9%
d25
 
1.0%
Other values (3)57
 
2.2%
ValueCountFrequency (%)
5164
61.0%
480
29.7%
118
 
6.7%
37
 
2.6%
ValueCountFrequency (%)
S182
67.7%
A80
29.7%
I7
 
2.6%
ValueCountFrequency (%)
451
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2897
69.7%
Common1258
30.3%

Most frequent character per script

ValueCountFrequency (%)
e538
18.6%
r451
15.6%
g444
15.3%
n196
 
6.8%
t189
 
6.5%
S182
 
6.3%
o182
 
6.3%
l182
 
6.3%
y182
 
6.3%
a182
 
6.3%
Other values (6)169
 
5.8%
ValueCountFrequency (%)
451
35.9%
(269
21.4%
)269
21.4%
5164
 
13.0%
480
 
6.4%
118
 
1.4%
37
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII4155
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
12.9%
r451
10.9%
451
10.9%
g444
10.7%
(269
 
6.5%
)269
 
6.5%
n196
 
4.7%
t189
 
4.5%
S182
 
4.4%
o182
 
4.4%
Other values (13)984
23.7%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
Strongly agree (5)
116 
Agree (4)
92 
Indifferent (3)
43 
Dis-agree (2)
18 

Length

Max length18
Median length15
Mean length14.10780669
Min length9

Characters and Unicode

Total characters3795
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndifferent (3)
2nd rowStrongly agree (5)
3rd rowAgree (4)
4th rowAgree (4)
5th rowIndifferent (3)
ValueCountFrequency (%)
Strongly agree (5)116
43.1%
Agree (4)92
34.2%
Indifferent (3)43
 
16.0%
Dis-agree (2)18
 
6.7%
2021-05-01T14:30:28.875588image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:28.984958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree208
31.8%
strongly116
17.7%
5116
17.7%
492
14.1%
indifferent43
 
6.6%
343
 
6.6%
218
 
2.8%
dis-agree18
 
2.8%

Most occurring characters

ValueCountFrequency (%)
e538
14.2%
r385
 
10.1%
385
 
10.1%
g342
 
9.0%
(269
 
7.1%
)269
 
7.1%
n202
 
5.3%
t159
 
4.2%
a134
 
3.5%
S116
 
3.1%
Other values (15)996
26.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2316
61.0%
Space Separator385
 
10.1%
Uppercase Letter269
 
7.1%
Open Punctuation269
 
7.1%
Decimal Number269
 
7.1%
Close Punctuation269
 
7.1%
Dash Punctuation18
 
0.5%

Most frequent character per category

ValueCountFrequency (%)
e538
23.2%
r385
16.6%
g342
14.8%
n202
 
8.7%
t159
 
6.9%
a134
 
5.8%
o116
 
5.0%
l116
 
5.0%
y116
 
5.0%
f86
 
3.7%
Other values (3)122
 
5.3%
ValueCountFrequency (%)
S116
43.1%
A92
34.2%
I43
 
16.0%
D18
 
6.7%
ValueCountFrequency (%)
5116
43.1%
492
34.2%
343
 
16.0%
218
 
6.7%
ValueCountFrequency (%)
385
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2585
68.1%
Common1210
31.9%

Most frequent character per script

ValueCountFrequency (%)
e538
20.8%
r385
14.9%
g342
13.2%
n202
 
7.8%
t159
 
6.2%
a134
 
5.2%
S116
 
4.5%
o116
 
4.5%
l116
 
4.5%
y116
 
4.5%
Other values (7)361
14.0%
ValueCountFrequency (%)
385
31.8%
(269
22.2%
)269
22.2%
5116
 
9.6%
492
 
7.6%
343
 
3.6%
-18
 
1.5%
218
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII3795
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
14.2%
r385
 
10.1%
385
 
10.1%
g342
 
9.0%
(269
 
7.1%
)269
 
7.1%
n202
 
5.3%
t159
 
4.2%
a134
 
3.5%
S116
 
3.1%
Other values (15)996
26.2%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
Agree (4)
101 
Strongly agree (5)
87 
Indifferent (3)
52 
Dis-agree (2)
18 
Strongly disagree (1)
11 

Length

Max length21
Median length15
Mean length13.82899628
Min length9

Characters and Unicode

Total characters3720
Distinct characters26
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndifferent (3)
2nd rowStrongly agree (5)
3rd rowAgree (4)
4th rowIndifferent (3)
5th rowIndifferent (3)
ValueCountFrequency (%)
Agree (4)101
37.5%
Strongly agree (5)87
32.3%
Indifferent (3)52
19.3%
Dis-agree (2)18
 
6.7%
Strongly disagree (1)11
 
4.1%
2021-05-01T14:30:29.359947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:29.484943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree188
29.6%
4101
15.9%
strongly98
15.4%
587
13.7%
352
 
8.2%
indifferent52
 
8.2%
218
 
2.8%
dis-agree18
 
2.8%
disagree11
 
1.7%
111
 
1.7%

Most occurring characters

ValueCountFrequency (%)
e538
14.5%
r367
 
9.9%
367
 
9.9%
g315
 
8.5%
(269
 
7.2%
)269
 
7.2%
n202
 
5.4%
t150
 
4.0%
a116
 
3.1%
f104
 
2.8%
Other values (16)1023
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2259
60.7%
Space Separator367
 
9.9%
Uppercase Letter269
 
7.2%
Open Punctuation269
 
7.2%
Decimal Number269
 
7.2%
Close Punctuation269
 
7.2%
Dash Punctuation18
 
0.5%

Most frequent character per category

ValueCountFrequency (%)
e538
23.8%
r367
16.2%
g315
13.9%
n202
 
8.9%
t150
 
6.6%
a116
 
5.1%
f104
 
4.6%
o98
 
4.3%
l98
 
4.3%
y98
 
4.3%
Other values (3)173
 
7.7%
ValueCountFrequency (%)
4101
37.5%
587
32.3%
352
19.3%
218
 
6.7%
111
 
4.1%
ValueCountFrequency (%)
A101
37.5%
S98
36.4%
I52
19.3%
D18
 
6.7%
ValueCountFrequency (%)
367
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2528
68.0%
Common1192
32.0%

Most frequent character per script

ValueCountFrequency (%)
e538
21.3%
r367
14.5%
g315
12.5%
n202
 
8.0%
t150
 
5.9%
a116
 
4.6%
f104
 
4.1%
A101
 
4.0%
S98
 
3.9%
o98
 
3.9%
Other values (7)439
17.4%
ValueCountFrequency (%)
367
30.8%
(269
22.6%
)269
22.6%
4101
 
8.5%
587
 
7.3%
352
 
4.4%
-18
 
1.5%
218
 
1.5%
111
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII3720
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
14.5%
r367
 
9.9%
367
 
9.9%
g315
 
8.5%
(269
 
7.2%
)269
 
7.2%
n202
 
5.4%
t150
 
4.0%
a116
 
3.1%
f104
 
2.8%
Other values (16)1023
27.5%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
Agree (4)
132 
Strongly agree (5)
107 
Strongly disagree (1)
18 
Dis-agree (2)
 
12

Length

Max length21
Median length13
Mean length13.56133829
Min length9

Characters and Unicode

Total characters3648
Distinct characters23
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowStrongly agree (5)
3rd rowAgree (4)
4th rowAgree (4)
5th rowAgree (4)
ValueCountFrequency (%)
Agree (4)132
49.1%
Strongly agree (5)107
39.8%
Strongly disagree (1)18
 
6.7%
Dis-agree (2)12
 
4.5%
2021-05-01T14:30:29.891179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:30.016174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree239
36.0%
4132
19.9%
strongly125
18.9%
5107
16.1%
disagree18
 
2.7%
118
 
2.7%
212
 
1.8%
dis-agree12
 
1.8%

Most occurring characters

ValueCountFrequency (%)
e538
14.7%
g394
10.8%
r394
10.8%
394
10.8%
(269
 
7.4%
)269
 
7.4%
a137
 
3.8%
A132
 
3.6%
4132
 
3.6%
S125
 
3.4%
Other values (13)864
23.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2166
59.4%
Space Separator394
 
10.8%
Uppercase Letter269
 
7.4%
Open Punctuation269
 
7.4%
Decimal Number269
 
7.4%
Close Punctuation269
 
7.4%
Dash Punctuation12
 
0.3%

Most frequent character per category

ValueCountFrequency (%)
e538
24.8%
g394
18.2%
r394
18.2%
a137
 
6.3%
t125
 
5.8%
o125
 
5.8%
n125
 
5.8%
l125
 
5.8%
y125
 
5.8%
i30
 
1.4%
Other values (2)48
 
2.2%
ValueCountFrequency (%)
4132
49.1%
5107
39.8%
118
 
6.7%
212
 
4.5%
ValueCountFrequency (%)
A132
49.1%
S125
46.5%
D12
 
4.5%
ValueCountFrequency (%)
394
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2435
66.7%
Common1213
33.3%

Most frequent character per script

ValueCountFrequency (%)
e538
22.1%
g394
16.2%
r394
16.2%
a137
 
5.6%
A132
 
5.4%
S125
 
5.1%
t125
 
5.1%
o125
 
5.1%
n125
 
5.1%
l125
 
5.1%
Other values (5)215
 
8.8%
ValueCountFrequency (%)
394
32.5%
(269
22.2%
)269
22.2%
4132
 
10.9%
5107
 
8.8%
118
 
1.5%
-12
 
1.0%
212
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3648
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
14.7%
g394
10.8%
r394
10.8%
394
10.8%
(269
 
7.4%
)269
 
7.4%
a137
 
3.8%
A132
 
3.6%
4132
 
3.6%
S125
 
3.4%
Other values (13)864
23.7%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
Strongly agree (5)
141 
Agree (4)
105 
Strongly disagree (1)
18 
Dis-agree (2)
 
5

Length

Max length21
Median length18
Mean length14.59479554
Min length9

Characters and Unicode

Total characters3926
Distinct characters23
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowStrongly agree (5)
3rd rowAgree (4)
4th rowStrongly agree (5)
5th rowAgree (4)
ValueCountFrequency (%)
Strongly agree (5)141
52.4%
Agree (4)105
39.0%
Strongly disagree (1)18
 
6.7%
Dis-agree (2)5
 
1.9%
2021-05-01T14:30:30.430161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:30.570781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree246
35.3%
strongly159
22.8%
5141
20.2%
4105
15.1%
disagree18
 
2.6%
118
 
2.6%
25
 
0.7%
dis-agree5
 
0.7%

Most occurring characters

ValueCountFrequency (%)
e538
13.7%
g428
10.9%
r428
10.9%
428
10.9%
(269
 
6.9%
)269
 
6.9%
a164
 
4.2%
S159
 
4.0%
t159
 
4.0%
o159
 
4.0%
Other values (13)925
23.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2417
61.6%
Space Separator428
 
10.9%
Uppercase Letter269
 
6.9%
Open Punctuation269
 
6.9%
Decimal Number269
 
6.9%
Close Punctuation269
 
6.9%
Dash Punctuation5
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
e538
22.3%
g428
17.7%
r428
17.7%
a164
 
6.8%
t159
 
6.6%
o159
 
6.6%
n159
 
6.6%
l159
 
6.6%
y159
 
6.6%
i23
 
1.0%
Other values (2)41
 
1.7%
ValueCountFrequency (%)
5141
52.4%
4105
39.0%
118
 
6.7%
25
 
1.9%
ValueCountFrequency (%)
S159
59.1%
A105
39.0%
D5
 
1.9%
ValueCountFrequency (%)
428
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2686
68.4%
Common1240
31.6%

Most frequent character per script

ValueCountFrequency (%)
e538
20.0%
g428
15.9%
r428
15.9%
a164
 
6.1%
S159
 
5.9%
t159
 
5.9%
o159
 
5.9%
n159
 
5.9%
l159
 
5.9%
y159
 
5.9%
Other values (5)174
 
6.5%
ValueCountFrequency (%)
428
34.5%
(269
21.7%
)269
21.7%
5141
 
11.4%
4105
 
8.5%
118
 
1.5%
-5
 
0.4%
25
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII3926
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.7%
g428
10.9%
r428
10.9%
428
10.9%
(269
 
6.9%
)269
 
6.9%
a164
 
4.2%
S159
 
4.0%
t159
 
4.0%
o159
 
4.0%
Other values (13)925
23.6%

Loading Speed
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
Strongly agree (5)
115 
Agree (4)
112 
Dis-agree (2)
18 
Strongly disagree (1)
12 
Indifferent (3)
12 

Length

Max length21
Median length15
Mean length13.91821561
Min length9

Characters and Unicode

Total characters3744
Distinct characters26
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStrongly disagree (1)
2nd rowStrongly agree (5)
3rd rowAgree (4)
4th rowAgree (4)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)115
42.8%
Agree (4)112
41.6%
Dis-agree (2)18
 
6.7%
Strongly disagree (1)12
 
4.5%
Indifferent (3)12
 
4.5%
2021-05-01T14:30:30.930145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:31.077631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree227
34.1%
strongly127
19.1%
5115
17.3%
4112
16.8%
218
 
2.7%
dis-agree18
 
2.7%
indifferent12
 
1.8%
312
 
1.8%
disagree12
 
1.8%
112
 
1.8%

Most occurring characters

ValueCountFrequency (%)
e538
14.4%
r396
10.6%
396
10.6%
g384
10.3%
(269
 
7.2%
)269
 
7.2%
n151
 
4.0%
a145
 
3.9%
t139
 
3.7%
S127
 
3.4%
Other values (16)930
24.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2254
60.2%
Space Separator396
 
10.6%
Uppercase Letter269
 
7.2%
Open Punctuation269
 
7.2%
Decimal Number269
 
7.2%
Close Punctuation269
 
7.2%
Dash Punctuation18
 
0.5%

Most frequent character per category

ValueCountFrequency (%)
e538
23.9%
r396
17.6%
g384
17.0%
n151
 
6.7%
a145
 
6.4%
t139
 
6.2%
o127
 
5.6%
l127
 
5.6%
y127
 
5.6%
i42
 
1.9%
Other values (3)78
 
3.5%
ValueCountFrequency (%)
5115
42.8%
4112
41.6%
218
 
6.7%
112
 
4.5%
312
 
4.5%
ValueCountFrequency (%)
S127
47.2%
A112
41.6%
D18
 
6.7%
I12
 
4.5%
ValueCountFrequency (%)
396
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2523
67.4%
Common1221
32.6%

Most frequent character per script

ValueCountFrequency (%)
e538
21.3%
r396
15.7%
g384
15.2%
n151
 
6.0%
a145
 
5.7%
t139
 
5.5%
S127
 
5.0%
o127
 
5.0%
l127
 
5.0%
y127
 
5.0%
Other values (7)262
10.4%
ValueCountFrequency (%)
396
32.4%
(269
22.0%
)269
22.0%
5115
 
9.4%
4112
 
9.2%
-18
 
1.5%
218
 
1.5%
112
 
1.0%
312
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3744
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
14.4%
r396
10.6%
396
10.6%
g384
10.3%
(269
 
7.2%
)269
 
7.2%
n151
 
4.0%
a145
 
3.9%
t139
 
3.7%
S127
 
3.4%
Other values (16)930
24.8%

User Friendly
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
Strongly agree (5)
189 
Agree (4)
45 
Strongly disagree (1)
 
18
Dis-agree (2)
 
12
Indifferent (3)
 
5

Length

Max length21
Median length18
Mean length16.41635688
Min length9

Characters and Unicode

Total characters4416
Distinct characters26
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDis-agree (2)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowStrongly agree (5)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)189
70.3%
Agree (4)45
 
16.7%
Strongly disagree (1)18
 
6.7%
Dis-agree (2)12
 
4.5%
Indifferent (3)5
 
1.9%
2021-05-01T14:30:31.541804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:31.682181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree234
31.4%
strongly207
27.8%
5189
25.4%
445
 
6.0%
disagree18
 
2.4%
118
 
2.4%
212
 
1.6%
dis-agree12
 
1.6%
indifferent5
 
0.7%
35
 
0.7%

Most occurring characters

ValueCountFrequency (%)
e538
12.2%
r476
10.8%
476
10.8%
g471
10.7%
(269
 
6.1%
)269
 
6.1%
a219
 
5.0%
n217
 
4.9%
t212
 
4.8%
S207
 
4.7%
Other values (16)1062
24.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2852
64.6%
Space Separator476
 
10.8%
Uppercase Letter269
 
6.1%
Open Punctuation269
 
6.1%
Decimal Number269
 
6.1%
Close Punctuation269
 
6.1%
Dash Punctuation12
 
0.3%

Most frequent character per category

ValueCountFrequency (%)
e538
18.9%
r476
16.7%
g471
16.5%
a219
7.7%
n217
7.6%
t212
 
7.4%
o207
 
7.3%
l207
 
7.3%
y207
 
7.3%
i35
 
1.2%
Other values (3)63
 
2.2%
ValueCountFrequency (%)
5189
70.3%
445
 
16.7%
118
 
6.7%
212
 
4.5%
35
 
1.9%
ValueCountFrequency (%)
S207
77.0%
A45
 
16.7%
D12
 
4.5%
I5
 
1.9%
ValueCountFrequency (%)
-12
100.0%
ValueCountFrequency (%)
476
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3121
70.7%
Common1295
29.3%

Most frequent character per script

ValueCountFrequency (%)
e538
17.2%
r476
15.3%
g471
15.1%
a219
7.0%
n217
7.0%
t212
 
6.8%
S207
 
6.6%
o207
 
6.6%
l207
 
6.6%
y207
 
6.6%
Other values (7)160
 
5.1%
ValueCountFrequency (%)
476
36.8%
(269
20.8%
)269
20.8%
5189
 
14.6%
445
 
3.5%
118
 
1.4%
-12
 
0.9%
212
 
0.9%
35
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII4416
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
12.2%
r476
10.8%
476
10.8%
g471
10.7%
(269
 
6.1%
)269
 
6.1%
a219
 
5.0%
n217
 
4.9%
t212
 
4.8%
S207
 
4.7%
Other values (16)1062
24.0%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
Strongly agree (5)
159 
Agree (4)
80 
Dis-agree (2)
30 

Length

Max length18
Median length18
Mean length14.76579926
Min length9

Characters and Unicode

Total characters3972
Distinct characters21
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDis-agree (2)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowStrongly agree (5)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)159
59.1%
Agree (4)80
29.7%
Dis-agree (2)30
 
11.2%
2021-05-01T14:30:32.072794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:32.240411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree239
34.3%
strongly159
22.8%
5159
22.8%
480
 
11.5%
230
 
4.3%
dis-agree30
 
4.3%

Most occurring characters

ValueCountFrequency (%)
e538
13.5%
g428
10.8%
r428
10.8%
428
10.8%
(269
 
6.8%
)269
 
6.8%
a189
 
4.8%
S159
 
4.0%
t159
 
4.0%
o159
 
4.0%
Other values (11)946
23.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2438
61.4%
Space Separator428
 
10.8%
Uppercase Letter269
 
6.8%
Open Punctuation269
 
6.8%
Decimal Number269
 
6.8%
Close Punctuation269
 
6.8%
Dash Punctuation30
 
0.8%

Most frequent character per category

ValueCountFrequency (%)
e538
22.1%
g428
17.6%
r428
17.6%
a189
 
7.8%
t159
 
6.5%
o159
 
6.5%
n159
 
6.5%
l159
 
6.5%
y159
 
6.5%
i30
 
1.2%
ValueCountFrequency (%)
S159
59.1%
A80
29.7%
D30
 
11.2%
ValueCountFrequency (%)
5159
59.1%
480
29.7%
230
 
11.2%
ValueCountFrequency (%)
-30
100.0%
ValueCountFrequency (%)
428
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2707
68.2%
Common1265
31.8%

Most frequent character per script

ValueCountFrequency (%)
e538
19.9%
g428
15.8%
r428
15.8%
a189
 
7.0%
S159
 
5.9%
t159
 
5.9%
o159
 
5.9%
n159
 
5.9%
l159
 
5.9%
y159
 
5.9%
Other values (4)170
 
6.3%
ValueCountFrequency (%)
428
33.8%
(269
21.3%
)269
21.3%
5159
 
12.6%
480
 
6.3%
-30
 
2.4%
230
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII3972
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.5%
g428
10.8%
r428
10.8%
428
10.8%
(269
 
6.8%
)269
 
6.8%
a189
 
4.8%
S159
 
4.0%
t159
 
4.0%
o159
 
4.0%
Other values (11)946
23.8%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
Strongly agree (5)
141 
Agree (4)
86 
Disagree (2)
30 
indifferent (3)
 
12

Length

Max length18
Median length18
Mean length14.36431227
Min length9

Characters and Unicode

Total characters3864
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDisagree (2)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowAgree (4)
5th rowAgree (4)
ValueCountFrequency (%)
Strongly agree (5)141
52.4%
Agree (4)86
32.0%
Disagree (2)30
 
11.2%
indifferent (3)12
 
4.5%
2021-05-01T14:30:32.671320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:32.852208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree227
33.4%
strongly141
20.8%
5141
20.8%
486
 
12.7%
230
 
4.4%
disagree30
 
4.4%
indifferent12
 
1.8%
312
 
1.8%

Most occurring characters

ValueCountFrequency (%)
e538
13.9%
422
10.9%
r410
10.6%
g398
10.3%
(269
 
7.0%
)269
 
7.0%
a171
 
4.4%
n165
 
4.3%
t153
 
4.0%
S141
 
3.6%
Other values (13)928
24.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2378
61.5%
Space Separator422
 
10.9%
Open Punctuation269
 
7.0%
Decimal Number269
 
7.0%
Close Punctuation269
 
7.0%
Uppercase Letter257
 
6.7%

Most frequent character per category

ValueCountFrequency (%)
e538
22.6%
r410
17.2%
g398
16.7%
a171
 
7.2%
n165
 
6.9%
t153
 
6.4%
o141
 
5.9%
l141
 
5.9%
y141
 
5.9%
i54
 
2.3%
Other values (3)66
 
2.8%
ValueCountFrequency (%)
5141
52.4%
486
32.0%
230
 
11.2%
312
 
4.5%
ValueCountFrequency (%)
S141
54.9%
A86
33.5%
D30
 
11.7%
ValueCountFrequency (%)
422
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2635
68.2%
Common1229
31.8%

Most frequent character per script

ValueCountFrequency (%)
e538
20.4%
r410
15.6%
g398
15.1%
a171
 
6.5%
n165
 
6.3%
t153
 
5.8%
S141
 
5.4%
o141
 
5.4%
l141
 
5.4%
y141
 
5.4%
Other values (6)236
9.0%
ValueCountFrequency (%)
422
34.3%
(269
21.9%
)269
21.9%
5141
 
11.5%
486
 
7.0%
230
 
2.4%
312
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3864
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.9%
422
10.9%
r410
10.6%
g398
10.3%
(269
 
7.0%
)269
 
7.0%
a171
 
4.4%
n165
 
4.3%
t153
 
4.0%
S141
 
3.6%
Other values (13)928
24.0%

User Support
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size21.4 KiB
Strongly agree (5)
194 
Agree (4)
42 
Strongly disagree (1)
 
18
indifferent (3)
 
15

Length

Max length21
Median length18
Mean length16.62825279
Min length9

Characters and Unicode

Total characters4473
Distinct characters22
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStrongly agree (5)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowStrongly agree (5)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)194
72.1%
Agree (4)42
 
15.6%
Strongly disagree (1)18
 
6.7%
indifferent (3)15
 
5.6%
2021-05-01T14:30:33.241045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:33.381664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree236
31.5%
strongly212
28.3%
5194
25.9%
442
 
5.6%
disagree18
 
2.4%
118
 
2.4%
indifferent15
 
2.0%
315
 
2.0%

Most occurring characters

ValueCountFrequency (%)
e538
12.0%
r481
10.8%
481
10.8%
g466
10.4%
(269
 
6.0%
)269
 
6.0%
n242
 
5.4%
t227
 
5.1%
S212
 
4.7%
o212
 
4.7%
Other values (12)1076
24.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2931
65.5%
Space Separator481
 
10.8%
Open Punctuation269
 
6.0%
Decimal Number269
 
6.0%
Close Punctuation269
 
6.0%
Uppercase Letter254
 
5.7%

Most frequent character per category

ValueCountFrequency (%)
e538
18.4%
r481
16.4%
g466
15.9%
n242
8.3%
t227
7.7%
o212
 
7.2%
l212
 
7.2%
y212
 
7.2%
a212
 
7.2%
i48
 
1.6%
Other values (3)81
 
2.8%
ValueCountFrequency (%)
5194
72.1%
442
 
15.6%
118
 
6.7%
315
 
5.6%
ValueCountFrequency (%)
S212
83.5%
A42
 
16.5%
ValueCountFrequency (%)
481
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3185
71.2%
Common1288
28.8%

Most frequent character per script

ValueCountFrequency (%)
e538
16.9%
r481
15.1%
g466
14.6%
n242
7.6%
t227
7.1%
S212
 
6.7%
o212
 
6.7%
l212
 
6.7%
y212
 
6.7%
a212
 
6.7%
Other values (5)171
 
5.4%
ValueCountFrequency (%)
481
37.3%
(269
20.9%
)269
20.9%
5194
15.1%
442
 
3.3%
118
 
1.4%
315
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII4473
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
12.0%
r481
10.8%
481
10.8%
g466
10.4%
(269
 
6.0%
)269
 
6.0%
n242
 
5.4%
t227
 
5.1%
S212
 
4.7%
o212
 
4.7%
Other values (12)1076
24.1%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
Strongly agree (5)
185 
Agree (4)
58 
indifferent (3)
26 

Length

Max length18
Median length18
Mean length15.76951673
Min length9

Characters and Unicode

Total characters4242
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowStrongly agree (5)
5th rowAgree (4)
ValueCountFrequency (%)
Strongly agree (5)185
68.8%
Agree (4)58
 
21.6%
indifferent (3)26
 
9.7%
2021-05-01T14:30:33.808700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:33.979593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree243
33.6%
strongly185
25.6%
5185
25.6%
458
 
8.0%
indifferent26
 
3.6%
326
 
3.6%

Most occurring characters

ValueCountFrequency (%)
e538
12.7%
r454
10.7%
454
10.7%
g428
10.1%
(269
 
6.3%
)269
 
6.3%
n237
 
5.6%
t211
 
5.0%
S185
 
4.4%
o185
 
4.4%
Other values (10)1012
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2738
64.5%
Space Separator454
 
10.7%
Open Punctuation269
 
6.3%
Decimal Number269
 
6.3%
Close Punctuation269
 
6.3%
Uppercase Letter243
 
5.7%

Most frequent character per category

ValueCountFrequency (%)
e538
19.6%
r454
16.6%
g428
15.6%
n237
8.7%
t211
 
7.7%
o185
 
6.8%
l185
 
6.8%
y185
 
6.8%
a185
 
6.8%
i52
 
1.9%
Other values (2)78
 
2.8%
ValueCountFrequency (%)
5185
68.8%
458
 
21.6%
326
 
9.7%
ValueCountFrequency (%)
S185
76.1%
A58
 
23.9%
ValueCountFrequency (%)
454
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2981
70.3%
Common1261
29.7%

Most frequent character per script

ValueCountFrequency (%)
e538
18.0%
r454
15.2%
g428
14.4%
n237
8.0%
t211
 
7.1%
S185
 
6.2%
o185
 
6.2%
l185
 
6.2%
y185
 
6.2%
a185
 
6.2%
Other values (4)188
 
6.3%
ValueCountFrequency (%)
454
36.0%
(269
21.3%
)269
21.3%
5185
14.7%
458
 
4.6%
326
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII4242
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
12.7%
r454
10.7%
454
10.7%
g428
10.1%
(269
 
6.3%
)269
 
6.3%
n237
 
5.6%
t211
 
5.0%
S185
 
4.4%
o185
 
4.4%
Other values (10)1012
23.9%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
Strongly agree (5)
149 
Agree (4)
94 
indifferent (3)
15 
Strongly disagree (1)
 
11

Length

Max length21
Median length18
Mean length14.81040892
Min length9

Characters and Unicode

Total characters3984
Distinct characters22
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowAgree (4)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)149
55.4%
Agree (4)94
34.9%
indifferent (3)15
 
5.6%
Strongly disagree (1)11
 
4.1%
2021-05-01T14:30:34.509377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:34.715839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree243
34.8%
strongly160
22.9%
5149
21.3%
494
 
13.5%
indifferent15
 
2.1%
315
 
2.1%
disagree11
 
1.6%
111
 
1.6%

Most occurring characters

ValueCountFrequency (%)
e538
13.5%
r429
10.8%
429
10.8%
g414
10.4%
(269
 
6.8%
)269
 
6.8%
n190
 
4.8%
t175
 
4.4%
S160
 
4.0%
o160
 
4.0%
Other values (12)951
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2494
62.6%
Space Separator429
 
10.8%
Open Punctuation269
 
6.8%
Decimal Number269
 
6.8%
Close Punctuation269
 
6.8%
Uppercase Letter254
 
6.4%

Most frequent character per category

ValueCountFrequency (%)
e538
21.6%
r429
17.2%
g414
16.6%
n190
 
7.6%
t175
 
7.0%
o160
 
6.4%
l160
 
6.4%
y160
 
6.4%
a160
 
6.4%
i41
 
1.6%
Other values (3)67
 
2.7%
ValueCountFrequency (%)
5149
55.4%
494
34.9%
315
 
5.6%
111
 
4.1%
ValueCountFrequency (%)
S160
63.0%
A94
37.0%
ValueCountFrequency (%)
429
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2748
69.0%
Common1236
31.0%

Most frequent character per script

ValueCountFrequency (%)
e538
19.6%
r429
15.6%
g414
15.1%
n190
 
6.9%
t175
 
6.4%
S160
 
5.8%
o160
 
5.8%
l160
 
5.8%
y160
 
5.8%
a160
 
5.8%
Other values (5)202
 
7.4%
ValueCountFrequency (%)
429
34.7%
(269
21.8%
)269
21.8%
5149
 
12.1%
494
 
7.6%
315
 
1.2%
111
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII3984
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.5%
r429
10.8%
429
10.8%
g414
10.4%
(269
 
6.8%
)269
 
6.8%
n190
 
4.8%
t175
 
4.4%
S160
 
4.0%
o160
 
4.0%
Other values (12)951
23.9%

Discounts
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
Strongly agree (5)
105 
Agree (4)
85 
indifferent (3)
50 
Strongly disagree (1)
18 
Dis-agree (2)
11 

Length

Max length21
Median length15
Mean length14.59479554
Min length9

Characters and Unicode

Total characters3926
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowindifferent (3)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowAgree (4)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)105
39.0%
Agree (4)85
31.6%
indifferent (3)50
18.6%
Strongly disagree (1)18
 
6.7%
Dis-agree (2)11
 
4.1%
2021-05-01T14:30:35.172122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:35.333279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree190
28.7%
strongly123
18.6%
5105
15.9%
485
12.9%
indifferent50
 
7.6%
350
 
7.6%
disagree18
 
2.7%
118
 
2.7%
211
 
1.7%
dis-agree11
 
1.7%

Most occurring characters

ValueCountFrequency (%)
e538
13.7%
r392
 
10.0%
392
 
10.0%
g342
 
8.7%
(269
 
6.9%
)269
 
6.9%
n223
 
5.7%
t173
 
4.4%
a134
 
3.4%
i129
 
3.3%
Other values (15)1065
27.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2497
63.6%
Space Separator392
 
10.0%
Open Punctuation269
 
6.9%
Decimal Number269
 
6.9%
Close Punctuation269
 
6.9%
Uppercase Letter219
 
5.6%
Dash Punctuation11
 
0.3%

Most frequent character per category

ValueCountFrequency (%)
e538
21.5%
r392
15.7%
g342
13.7%
n223
8.9%
t173
 
6.9%
a134
 
5.4%
i129
 
5.2%
o123
 
4.9%
l123
 
4.9%
y123
 
4.9%
Other values (3)197
 
7.9%
ValueCountFrequency (%)
5105
39.0%
485
31.6%
350
18.6%
118
 
6.7%
211
 
4.1%
ValueCountFrequency (%)
S123
56.2%
A85
38.8%
D11
 
5.0%
ValueCountFrequency (%)
392
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2716
69.2%
Common1210
30.8%

Most frequent character per script

ValueCountFrequency (%)
e538
19.8%
r392
14.4%
g342
12.6%
n223
8.2%
t173
 
6.4%
a134
 
4.9%
i129
 
4.7%
S123
 
4.5%
o123
 
4.5%
l123
 
4.5%
Other values (6)416
15.3%
ValueCountFrequency (%)
392
32.4%
(269
22.2%
)269
22.2%
5105
 
8.7%
485
 
7.0%
350
 
4.1%
118
 
1.5%
-11
 
0.9%
211
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII3926
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.7%
r392
 
10.0%
392
 
10.0%
g342
 
8.7%
(269
 
6.9%
)269
 
6.9%
n223
 
5.7%
t173
 
4.4%
a134
 
3.4%
i129
 
3.3%
Other values (15)1065
27.1%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size21.1 KiB
Strongly agree (5)
86 
indifferent (3)
75 
Agree (4)
59 
Strongly disagree (1)
30 
Dis-agree (2)
19 

Length

Max length21
Median length15
Mean length15.17100372
Min length9

Characters and Unicode

Total characters4081
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStrongly disagree (1)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowindifferent (3)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)86
32.0%
indifferent (3)75
27.9%
Agree (4)59
21.9%
Strongly disagree (1)30
 
11.2%
Dis-agree (2)19
 
7.1%
2021-05-01T14:30:35.880272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:36.137048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree145
22.2%
strongly116
17.7%
586
13.1%
indifferent75
11.5%
375
11.5%
459
9.0%
disagree30
 
4.6%
130
 
4.6%
219
 
2.9%
dis-agree19
 
2.9%

Most occurring characters

ValueCountFrequency (%)
e538
13.2%
r385
 
9.4%
385
 
9.4%
g310
 
7.6%
(269
 
6.6%
)269
 
6.6%
n266
 
6.5%
i199
 
4.9%
t191
 
4.7%
f150
 
3.7%
Other values (15)1119
27.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2676
65.6%
Space Separator385
 
9.4%
Open Punctuation269
 
6.6%
Decimal Number269
 
6.6%
Close Punctuation269
 
6.6%
Uppercase Letter194
 
4.8%
Dash Punctuation19
 
0.5%

Most frequent character per category

ValueCountFrequency (%)
e538
20.1%
r385
14.4%
g310
11.6%
n266
9.9%
i199
 
7.4%
t191
 
7.1%
f150
 
5.6%
a135
 
5.0%
o116
 
4.3%
l116
 
4.3%
Other values (3)270
10.1%
ValueCountFrequency (%)
586
32.0%
375
27.9%
459
21.9%
130
 
11.2%
219
 
7.1%
ValueCountFrequency (%)
S116
59.8%
A59
30.4%
D19
 
9.8%
ValueCountFrequency (%)
385
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2870
70.3%
Common1211
29.7%

Most frequent character per script

ValueCountFrequency (%)
e538
18.7%
r385
13.4%
g310
10.8%
n266
9.3%
i199
 
6.9%
t191
 
6.7%
f150
 
5.2%
a135
 
4.7%
S116
 
4.0%
o116
 
4.0%
Other values (6)464
16.2%
ValueCountFrequency (%)
385
31.8%
(269
22.2%
)269
22.2%
586
 
7.1%
375
 
6.2%
459
 
4.9%
130
 
2.5%
-19
 
1.6%
219
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII4081
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.2%
r385
 
9.4%
385
 
9.4%
g310
 
7.6%
(269
 
6.6%
)269
 
6.6%
n266
 
6.5%
i199
 
4.9%
t191
 
4.7%
f150
 
3.7%
Other values (15)1119
27.4%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
Strongly agree (5)
146 
Agree (4)
78 
indifferent (3)
33 
Dis-agree (2)
 
12

Length

Max length18
Median length18
Mean length14.79925651
Min length9

Characters and Unicode

Total characters3981
Distinct characters24
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDis-agree (2)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowindifferent (3)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)146
54.3%
Agree (4)78
29.0%
indifferent (3)33
 
12.3%
Dis-agree (2)12
 
4.5%
2021-05-01T14:30:37.214286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:37.373552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree224
32.7%
strongly146
21.3%
5146
21.3%
478
 
11.4%
indifferent33
 
4.8%
333
 
4.8%
212
 
1.8%
dis-agree12
 
1.8%

Most occurring characters

ValueCountFrequency (%)
e538
13.5%
r415
10.4%
415
10.4%
g382
 
9.6%
(269
 
6.8%
)269
 
6.8%
n212
 
5.3%
t179
 
4.5%
a158
 
4.0%
S146
 
3.7%
Other values (14)998
25.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2511
63.1%
Space Separator415
 
10.4%
Open Punctuation269
 
6.8%
Decimal Number269
 
6.8%
Close Punctuation269
 
6.8%
Uppercase Letter236
 
5.9%
Dash Punctuation12
 
0.3%

Most frequent character per category

ValueCountFrequency (%)
e538
21.4%
r415
16.5%
g382
15.2%
n212
 
8.4%
t179
 
7.1%
a158
 
6.3%
o146
 
5.8%
l146
 
5.8%
y146
 
5.8%
i78
 
3.1%
Other values (3)111
 
4.4%
ValueCountFrequency (%)
5146
54.3%
478
29.0%
333
 
12.3%
212
 
4.5%
ValueCountFrequency (%)
S146
61.9%
A78
33.1%
D12
 
5.1%
ValueCountFrequency (%)
-12
100.0%
ValueCountFrequency (%)
415
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2747
69.0%
Common1234
31.0%

Most frequent character per script

ValueCountFrequency (%)
e538
19.6%
r415
15.1%
g382
13.9%
n212
 
7.7%
t179
 
6.5%
a158
 
5.8%
S146
 
5.3%
o146
 
5.3%
l146
 
5.3%
y146
 
5.3%
Other values (6)279
10.2%
ValueCountFrequency (%)
415
33.6%
(269
21.8%
)269
21.8%
5146
 
11.8%
478
 
6.3%
333
 
2.7%
-12
 
1.0%
212
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3981
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.5%
r415
10.4%
415
10.4%
g382
 
9.6%
(269
 
6.8%
)269
 
6.8%
n212
 
5.3%
t179
 
4.5%
a158
 
4.0%
S146
 
3.7%
Other values (14)998
25.1%

Return policy
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size21.3 KiB
Strongly agree (5)
198 
Agree (4)
51 
Dis-agree (2)
20 

Length

Max length18
Median length18
Mean length15.92193309
Min length9

Characters and Unicode

Total characters4283
Distinct characters21
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDis-agree (2)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowAgree (4)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)198
73.6%
Agree (4)51
 
19.0%
Dis-agree (2)20
 
7.4%
2021-05-01T14:30:37.906638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:38.117506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree249
33.8%
strongly198
26.9%
5198
26.9%
451
 
6.9%
220
 
2.7%
dis-agree20
 
2.7%

Most occurring characters

ValueCountFrequency (%)
e538
12.6%
g467
10.9%
r467
10.9%
467
10.9%
(269
 
6.3%
)269
 
6.3%
a218
 
5.1%
S198
 
4.6%
t198
 
4.6%
o198
 
4.6%
Other values (11)994
23.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2720
63.5%
Space Separator467
 
10.9%
Uppercase Letter269
 
6.3%
Open Punctuation269
 
6.3%
Decimal Number269
 
6.3%
Close Punctuation269
 
6.3%
Dash Punctuation20
 
0.5%

Most frequent character per category

ValueCountFrequency (%)
e538
19.8%
g467
17.2%
r467
17.2%
a218
8.0%
t198
 
7.3%
o198
 
7.3%
n198
 
7.3%
l198
 
7.3%
y198
 
7.3%
i20
 
0.7%
ValueCountFrequency (%)
S198
73.6%
A51
 
19.0%
D20
 
7.4%
ValueCountFrequency (%)
5198
73.6%
451
 
19.0%
220
 
7.4%
ValueCountFrequency (%)
-20
100.0%
ValueCountFrequency (%)
467
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2989
69.8%
Common1294
30.2%

Most frequent character per script

ValueCountFrequency (%)
e538
18.0%
g467
15.6%
r467
15.6%
a218
7.3%
S198
 
6.6%
t198
 
6.6%
o198
 
6.6%
n198
 
6.6%
l198
 
6.6%
y198
 
6.6%
Other values (4)111
 
3.7%
ValueCountFrequency (%)
467
36.1%
(269
20.8%
)269
20.8%
5198
15.3%
451
 
3.9%
-20
 
1.5%
220
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII4283
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
12.6%
g467
10.9%
r467
10.9%
467
10.9%
(269
 
6.3%
)269
 
6.3%
a218
 
5.1%
S198
 
4.6%
t198
 
4.6%
o198
 
4.6%
Other values (11)994
23.2%

Loyalty Programs
Categorical

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
Strongly agree (5)
115 
Agree (4)
64 
indifferent (3)
64 
Dis-agree (2)
15 
Strongly disagree (1)
 
11

Length

Max length21
Median length15
Mean length14.98884758
Min length9

Characters and Unicode

Total characters4032
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowindifferent (3)
5th rowDis-agree (2)
ValueCountFrequency (%)
Strongly agree (5)115
42.8%
Agree (4)64
23.8%
indifferent (3)64
23.8%
Dis-agree (2)15
 
5.6%
Strongly disagree (1)11
 
4.1%
2021-05-01T14:30:38.679159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:38.866042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree179
27.0%
strongly126
19.0%
5115
17.3%
indifferent64
 
9.6%
464
 
9.6%
364
 
9.6%
215
 
2.3%
dis-agree15
 
2.3%
disagree11
 
1.7%
111
 
1.7%

Most occurring characters

ValueCountFrequency (%)
e538
13.3%
r395
 
9.8%
395
 
9.8%
g331
 
8.2%
(269
 
6.7%
)269
 
6.7%
n254
 
6.3%
t190
 
4.7%
i154
 
3.8%
a141
 
3.5%
Other values (15)1096
27.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2610
64.7%
Space Separator395
 
9.8%
Open Punctuation269
 
6.7%
Decimal Number269
 
6.7%
Close Punctuation269
 
6.7%
Uppercase Letter205
 
5.1%
Dash Punctuation15
 
0.4%

Most frequent character per category

ValueCountFrequency (%)
e538
20.6%
r395
15.1%
g331
12.7%
n254
9.7%
t190
 
7.3%
i154
 
5.9%
a141
 
5.4%
f128
 
4.9%
o126
 
4.8%
l126
 
4.8%
Other values (3)227
8.7%
ValueCountFrequency (%)
5115
42.8%
464
23.8%
364
23.8%
215
 
5.6%
111
 
4.1%
ValueCountFrequency (%)
S126
61.5%
A64
31.2%
D15
 
7.3%
ValueCountFrequency (%)
395
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2815
69.8%
Common1217
30.2%

Most frequent character per script

ValueCountFrequency (%)
e538
19.1%
r395
14.0%
g331
11.8%
n254
9.0%
t190
 
6.7%
i154
 
5.5%
a141
 
5.0%
f128
 
4.5%
S126
 
4.5%
o126
 
4.5%
Other values (6)432
15.3%
ValueCountFrequency (%)
395
32.5%
(269
22.1%
)269
22.1%
5115
 
9.4%
464
 
5.3%
364
 
5.3%
-15
 
1.2%
215
 
1.2%
111
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII4032
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.3%
r395
 
9.8%
395
 
9.8%
g331
 
8.2%
(269
 
6.7%
)269
 
6.7%
n254
 
6.3%
t190
 
4.7%
i154
 
3.8%
a141
 
3.5%
Other values (15)1096
27.2%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
Strongly agree (5)
133 
Agree (4)
80 
indifferent (3)
56 

Length

Max length18
Median length15
Mean length14.69888476
Min length9

Characters and Unicode

Total characters3954
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowindifferent (3)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowindifferent (3)
5th rowAgree (4)
ValueCountFrequency (%)
Strongly agree (5)133
49.4%
Agree (4)80
29.7%
indifferent (3)56
20.8%
2021-05-01T14:30:39.459676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:39.588595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree213
31.7%
strongly133
19.8%
5133
19.8%
480
 
11.9%
indifferent56
 
8.3%
356
 
8.3%

Most occurring characters

ValueCountFrequency (%)
e538
13.6%
r402
 
10.2%
402
 
10.2%
g346
 
8.8%
(269
 
6.8%
)269
 
6.8%
n245
 
6.2%
t189
 
4.8%
S133
 
3.4%
o133
 
3.4%
Other values (10)1028
26.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2532
64.0%
Space Separator402
 
10.2%
Open Punctuation269
 
6.8%
Decimal Number269
 
6.8%
Close Punctuation269
 
6.8%
Uppercase Letter213
 
5.4%

Most frequent character per category

ValueCountFrequency (%)
e538
21.2%
r402
15.9%
g346
13.7%
n245
9.7%
t189
 
7.5%
o133
 
5.3%
l133
 
5.3%
y133
 
5.3%
a133
 
5.3%
i112
 
4.4%
Other values (2)168
 
6.6%
ValueCountFrequency (%)
5133
49.4%
480
29.7%
356
20.8%
ValueCountFrequency (%)
S133
62.4%
A80
37.6%
ValueCountFrequency (%)
402
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2745
69.4%
Common1209
30.6%

Most frequent character per script

ValueCountFrequency (%)
e538
19.6%
r402
14.6%
g346
12.6%
n245
8.9%
t189
 
6.9%
S133
 
4.8%
o133
 
4.8%
l133
 
4.8%
y133
 
4.8%
a133
 
4.8%
Other values (4)360
13.1%
ValueCountFrequency (%)
402
33.3%
(269
22.2%
)269
22.2%
5133
 
11.0%
480
 
6.6%
356
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII3954
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.6%
r402
 
10.2%
402
 
10.2%
g346
 
8.8%
(269
 
6.8%
)269
 
6.8%
n245
 
6.2%
t189
 
4.8%
S133
 
3.4%
o133
 
3.4%
Other values (10)1028
26.0%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
Strongly agree (5)
175 
Agree (4)
86 
Dis-agree (2)
 
8

Length

Max length18
Median length18
Mean length14.9739777
Min length9

Characters and Unicode

Total characters4028
Distinct characters21
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStrongly agree (5)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowAgree (4)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)175
65.1%
Agree (4)86
32.0%
Dis-agree (2)8
 
3.0%
2021-05-01T14:30:40.016327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:40.149247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree261
36.6%
strongly175
24.5%
5175
24.5%
486
 
12.1%
28
 
1.1%
dis-agree8
 
1.1%

Most occurring characters

ValueCountFrequency (%)
e538
13.4%
r444
11.0%
g444
11.0%
444
11.0%
(269
 
6.7%
)269
 
6.7%
a183
 
4.5%
S175
 
4.3%
t175
 
4.3%
o175
 
4.3%
Other values (11)912
22.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2500
62.1%
Space Separator444
 
11.0%
Uppercase Letter269
 
6.7%
Open Punctuation269
 
6.7%
Decimal Number269
 
6.7%
Close Punctuation269
 
6.7%
Dash Punctuation8
 
0.2%

Most frequent character per category

ValueCountFrequency (%)
e538
21.5%
r444
17.8%
g444
17.8%
a183
 
7.3%
t175
 
7.0%
o175
 
7.0%
n175
 
7.0%
l175
 
7.0%
y175
 
7.0%
i8
 
0.3%
ValueCountFrequency (%)
S175
65.1%
A86
32.0%
D8
 
3.0%
ValueCountFrequency (%)
5175
65.1%
486
32.0%
28
 
3.0%
ValueCountFrequency (%)
444
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2769
68.7%
Common1259
31.3%

Most frequent character per script

ValueCountFrequency (%)
e538
19.4%
r444
16.0%
g444
16.0%
a183
 
6.6%
S175
 
6.3%
t175
 
6.3%
o175
 
6.3%
n175
 
6.3%
l175
 
6.3%
y175
 
6.3%
Other values (4)110
 
4.0%
ValueCountFrequency (%)
444
35.3%
(269
21.4%
)269
21.4%
5175
 
13.9%
486
 
6.8%
-8
 
0.6%
28
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII4028
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.4%
r444
11.0%
g444
11.0%
444
11.0%
(269
 
6.7%
)269
 
6.7%
a183
 
4.5%
S175
 
4.3%
t175
 
4.3%
o175
 
4.3%
Other values (11)912
22.6%

Net Benefit
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
Strongly agree (5)
164 
Agree (4)
54 
indifferent (3)
40 
Dis-agree (2)
 
11

Length

Max length18
Median length18
Mean length15.54275093
Min length9

Characters and Unicode

Total characters4181
Distinct characters24
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowindifferent (3)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)164
61.0%
Agree (4)54
 
20.1%
indifferent (3)40
 
14.9%
Dis-agree (2)11
 
4.1%
2021-05-01T14:30:40.533008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:40.667923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree218
31.1%
strongly164
23.4%
5164
23.4%
454
 
7.7%
indifferent40
 
5.7%
340
 
5.7%
211
 
1.6%
dis-agree11
 
1.6%

Most occurring characters

ValueCountFrequency (%)
e538
12.9%
r433
10.4%
433
10.4%
g393
 
9.4%
(269
 
6.4%
)269
 
6.4%
n244
 
5.8%
t204
 
4.9%
a175
 
4.2%
S164
 
3.9%
Other values (14)1059
25.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2701
64.6%
Space Separator433
 
10.4%
Open Punctuation269
 
6.4%
Decimal Number269
 
6.4%
Close Punctuation269
 
6.4%
Uppercase Letter229
 
5.5%
Dash Punctuation11
 
0.3%

Most frequent character per category

ValueCountFrequency (%)
e538
19.9%
r433
16.0%
g393
14.6%
n244
9.0%
t204
 
7.6%
a175
 
6.5%
o164
 
6.1%
l164
 
6.1%
y164
 
6.1%
i91
 
3.4%
Other values (3)131
 
4.9%
ValueCountFrequency (%)
5164
61.0%
454
 
20.1%
340
 
14.9%
211
 
4.1%
ValueCountFrequency (%)
S164
71.6%
A54
 
23.6%
D11
 
4.8%
ValueCountFrequency (%)
433
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2930
70.1%
Common1251
29.9%

Most frequent character per script

ValueCountFrequency (%)
e538
18.4%
r433
14.8%
g393
13.4%
n244
8.3%
t204
 
7.0%
a175
 
6.0%
S164
 
5.6%
o164
 
5.6%
l164
 
5.6%
y164
 
5.6%
Other values (6)287
9.8%
ValueCountFrequency (%)
433
34.6%
(269
21.5%
)269
21.5%
5164
 
13.1%
454
 
4.3%
340
 
3.2%
-11
 
0.9%
211
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII4181
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
12.9%
r433
10.4%
433
10.4%
g393
 
9.4%
(269
 
6.4%
)269
 
6.4%
n244
 
5.8%
t204
 
4.9%
a175
 
4.2%
S164
 
3.9%
Other values (14)1059
25.3%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
Strongly agree (5)
122 
Agree (4)
117 
Strongly disagree (1)
18 
Dis-agree (2)
 
7
indifferent (3)
 
5

Length

Max length21
Median length18
Mean length14.10037175
Min length9

Characters and Unicode

Total characters3793
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStrongly agree (5)
2nd rowStrongly agree (5)
3rd rowAgree (4)
4th rowAgree (4)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)122
45.4%
Agree (4)117
43.5%
Strongly disagree (1)18
 
6.7%
Dis-agree (2)7
 
2.6%
indifferent (3)5
 
1.9%
2021-05-01T14:30:41.046728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:41.195179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree239
35.3%
strongly140
20.6%
5122
18.0%
4117
17.3%
disagree18
 
2.7%
118
 
2.7%
27
 
1.0%
dis-agree7
 
1.0%
indifferent5
 
0.7%
35
 
0.7%

Most occurring characters

ValueCountFrequency (%)
e538
14.2%
r409
10.8%
409
10.8%
g404
10.7%
(269
 
7.1%
)269
 
7.1%
n150
 
4.0%
a147
 
3.9%
t145
 
3.8%
S140
 
3.7%
Other values (15)913
24.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2306
60.8%
Space Separator409
 
10.8%
Open Punctuation269
 
7.1%
Decimal Number269
 
7.1%
Close Punctuation269
 
7.1%
Uppercase Letter264
 
7.0%
Dash Punctuation7
 
0.2%

Most frequent character per category

ValueCountFrequency (%)
e538
23.3%
r409
17.7%
g404
17.5%
n150
 
6.5%
a147
 
6.4%
t145
 
6.3%
o140
 
6.1%
l140
 
6.1%
y140
 
6.1%
i35
 
1.5%
Other values (3)58
 
2.5%
ValueCountFrequency (%)
5122
45.4%
4117
43.5%
118
 
6.7%
27
 
2.6%
35
 
1.9%
ValueCountFrequency (%)
S140
53.0%
A117
44.3%
D7
 
2.7%
ValueCountFrequency (%)
409
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2570
67.8%
Common1223
32.2%

Most frequent character per script

ValueCountFrequency (%)
e538
20.9%
r409
15.9%
g404
15.7%
n150
 
5.8%
a147
 
5.7%
t145
 
5.6%
S140
 
5.4%
o140
 
5.4%
l140
 
5.4%
y140
 
5.4%
Other values (6)217
8.4%
ValueCountFrequency (%)
409
33.4%
(269
22.0%
)269
22.0%
5122
 
10.0%
4117
 
9.6%
118
 
1.5%
-7
 
0.6%
27
 
0.6%
35
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII3793
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
14.2%
r409
10.8%
409
10.8%
g404
10.7%
(269
 
7.1%
)269
 
7.1%
n150
 
4.0%
a147
 
3.9%
t145
 
3.8%
S140
 
3.7%
Other values (15)913
24.1%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
Strongly agree (5)
111 
Agree (4)
94 
indifferent (3)
57 
Dis-agree (2)
 
7

Length

Max length18
Median length15
Mean length14.08921933
Min length9

Characters and Unicode

Total characters3790
Distinct characters24
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowindifferent (3)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowAgree (4)
5th rowAgree (4)
ValueCountFrequency (%)
Strongly agree (5)111
41.3%
Agree (4)94
34.9%
indifferent (3)57
21.2%
Dis-agree (2)7
 
2.6%
2021-05-01T14:30:41.583411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:41.709912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree205
31.6%
5111
17.1%
strongly111
17.1%
494
14.5%
357
 
8.8%
indifferent57
 
8.8%
27
 
1.1%
dis-agree7
 
1.1%

Most occurring characters

ValueCountFrequency (%)
e538
14.2%
r380
 
10.0%
380
 
10.0%
g323
 
8.5%
(269
 
7.1%
)269
 
7.1%
n225
 
5.9%
t168
 
4.4%
i121
 
3.2%
a118
 
3.1%
Other values (14)999
26.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2384
62.9%
Space Separator380
 
10.0%
Open Punctuation269
 
7.1%
Decimal Number269
 
7.1%
Close Punctuation269
 
7.1%
Uppercase Letter212
 
5.6%
Dash Punctuation7
 
0.2%

Most frequent character per category

ValueCountFrequency (%)
e538
22.6%
r380
15.9%
g323
13.5%
n225
9.4%
t168
 
7.0%
i121
 
5.1%
a118
 
4.9%
f114
 
4.8%
o111
 
4.7%
l111
 
4.7%
Other values (3)175
 
7.3%
ValueCountFrequency (%)
5111
41.3%
494
34.9%
357
21.2%
27
 
2.6%
ValueCountFrequency (%)
S111
52.4%
A94
44.3%
D7
 
3.3%
ValueCountFrequency (%)
380
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2596
68.5%
Common1194
31.5%

Most frequent character per script

ValueCountFrequency (%)
e538
20.7%
r380
14.6%
g323
12.4%
n225
8.7%
t168
 
6.5%
i121
 
4.7%
a118
 
4.5%
f114
 
4.4%
S111
 
4.3%
o111
 
4.3%
Other values (6)387
14.9%
ValueCountFrequency (%)
380
31.8%
(269
22.5%
)269
22.5%
5111
 
9.3%
494
 
7.9%
357
 
4.8%
-7
 
0.6%
27
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII3790
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
14.2%
r380
 
10.0%
380
 
10.0%
g323
 
8.5%
(269
 
7.1%
)269
 
7.1%
n225
 
5.9%
t168
 
4.4%
i121
 
3.2%
a118
 
3.1%
Other values (14)999
26.4%
Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
Strongly agree (5)
135 
Agree (4)
98 
indifferent (3)
31 
Disagree (2)
 
5

Length

Max length18
Median length18
Mean length14.26394052
Min length9

Characters and Unicode

Total characters3837
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowindifferent (3)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowAgree (4)
5th rowAgree (4)
ValueCountFrequency (%)
Strongly agree (5)135
50.2%
Agree (4)98
36.4%
indifferent (3)31
 
11.5%
Disagree (2)5
 
1.9%
2021-05-01T14:30:42.134393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:42.258928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree233
34.6%
strongly135
20.1%
5135
20.1%
498
14.6%
indifferent31
 
4.6%
331
 
4.6%
25
 
0.7%
disagree5
 
0.7%

Most occurring characters

ValueCountFrequency (%)
e538
14.0%
r404
10.5%
404
10.5%
g373
 
9.7%
(269
 
7.0%
)269
 
7.0%
n197
 
5.1%
t166
 
4.3%
a140
 
3.6%
S135
 
3.5%
Other values (13)942
24.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2388
62.2%
Space Separator404
 
10.5%
Open Punctuation269
 
7.0%
Decimal Number269
 
7.0%
Close Punctuation269
 
7.0%
Uppercase Letter238
 
6.2%

Most frequent character per category

ValueCountFrequency (%)
e538
22.5%
r404
16.9%
g373
15.6%
n197
 
8.2%
t166
 
7.0%
a140
 
5.9%
o135
 
5.7%
l135
 
5.7%
y135
 
5.7%
i67
 
2.8%
Other values (3)98
 
4.1%
ValueCountFrequency (%)
5135
50.2%
498
36.4%
331
 
11.5%
25
 
1.9%
ValueCountFrequency (%)
S135
56.7%
A98
41.2%
D5
 
2.1%
ValueCountFrequency (%)
404
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2626
68.4%
Common1211
31.6%

Most frequent character per script

ValueCountFrequency (%)
e538
20.5%
r404
15.4%
g373
14.2%
n197
 
7.5%
t166
 
6.3%
a140
 
5.3%
S135
 
5.1%
o135
 
5.1%
l135
 
5.1%
y135
 
5.1%
Other values (6)268
10.2%
ValueCountFrequency (%)
404
33.4%
(269
22.2%
)269
22.2%
5135
 
11.1%
498
 
8.1%
331
 
2.6%
25
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII3837
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
14.0%
r404
10.5%
404
10.5%
g373
 
9.7%
(269
 
7.0%
)269
 
7.0%
n197
 
5.1%
t166
 
4.3%
a140
 
3.6%
S135
 
3.5%
Other values (13)942
24.6%

Monetary savings
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
Strongly agree (5)
148 
Agree (4)
75 
Disagree (2)
31 
indifferent (3)
15 

Length

Max length18
Median length18
Mean length14.63197026
Min length9

Characters and Unicode

Total characters3936
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDisagree (2)
2nd rowStrongly agree (5)
3rd rowStrongly agree (5)
4th rowStrongly agree (5)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Strongly agree (5)148
55.0%
Agree (4)75
27.9%
Disagree (2)31
 
11.5%
indifferent (3)15
 
5.6%
2021-05-01T14:30:42.812187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:42.943110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree223
32.5%
strongly148
21.6%
5148
21.6%
475
 
10.9%
231
 
4.5%
disagree31
 
4.5%
indifferent15
 
2.2%
315
 
2.2%

Most occurring characters

ValueCountFrequency (%)
e538
13.7%
r417
10.6%
417
10.6%
g402
10.2%
(269
 
6.8%
)269
 
6.8%
a179
 
4.5%
n178
 
4.5%
t163
 
4.1%
S148
 
3.8%
Other values (13)956
24.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2458
62.4%
Space Separator417
 
10.6%
Open Punctuation269
 
6.8%
Decimal Number269
 
6.8%
Close Punctuation269
 
6.8%
Uppercase Letter254
 
6.5%

Most frequent character per category

ValueCountFrequency (%)
e538
21.9%
r417
17.0%
g402
16.4%
a179
 
7.3%
n178
 
7.2%
t163
 
6.6%
o148
 
6.0%
l148
 
6.0%
y148
 
6.0%
i61
 
2.5%
Other values (3)76
 
3.1%
ValueCountFrequency (%)
5148
55.0%
475
27.9%
231
 
11.5%
315
 
5.6%
ValueCountFrequency (%)
S148
58.3%
A75
29.5%
D31
 
12.2%
ValueCountFrequency (%)
417
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2712
68.9%
Common1224
31.1%

Most frequent character per script

ValueCountFrequency (%)
e538
19.8%
r417
15.4%
g402
14.8%
a179
 
6.6%
n178
 
6.6%
t163
 
6.0%
S148
 
5.5%
o148
 
5.5%
l148
 
5.5%
y148
 
5.5%
Other values (6)243
9.0%
ValueCountFrequency (%)
417
34.1%
(269
22.0%
)269
22.0%
5148
 
12.1%
475
 
6.1%
231
 
2.5%
315
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII3936
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.7%
r417
10.6%
417
10.6%
g402
10.2%
(269
 
6.8%
)269
 
6.8%
a179
 
4.5%
n178
 
4.5%
t163
 
4.1%
S148
 
3.8%
Other values (13)956
24.3%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
Agree (4)
138 
indifferent (3)
77 
Strongly agree (5)
54 

Length

Max length18
Median length9
Mean length12.52416357
Min length9

Characters and Unicode

Total characters3369
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowindifferent (3)
2nd rowindifferent (3)
3rd rowAgree (4)
4th rowAgree (4)
5th rowAgree (4)
ValueCountFrequency (%)
Agree (4)138
51.3%
indifferent (3)77
28.6%
Strongly agree (5)54
 
20.1%
2021-05-01T14:30:43.513752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:43.638677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree192
32.4%
4138
23.3%
377
13.0%
indifferent77
13.0%
554
 
9.1%
strongly54
 
9.1%

Most occurring characters

ValueCountFrequency (%)
e538
16.0%
r323
9.6%
323
9.6%
(269
 
8.0%
)269
 
8.0%
g246
 
7.3%
n208
 
6.2%
i154
 
4.6%
f154
 
4.6%
A138
 
4.1%
Other values (10)747
22.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2047
60.8%
Space Separator323
 
9.6%
Open Punctuation269
 
8.0%
Decimal Number269
 
8.0%
Close Punctuation269
 
8.0%
Uppercase Letter192
 
5.7%

Most frequent character per category

ValueCountFrequency (%)
e538
26.3%
r323
15.8%
g246
12.0%
n208
 
10.2%
i154
 
7.5%
f154
 
7.5%
t131
 
6.4%
d77
 
3.8%
o54
 
2.6%
l54
 
2.6%
Other values (2)108
 
5.3%
ValueCountFrequency (%)
4138
51.3%
377
28.6%
554
 
20.1%
ValueCountFrequency (%)
A138
71.9%
S54
 
28.1%
ValueCountFrequency (%)
323
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2239
66.5%
Common1130
33.5%

Most frequent character per script

ValueCountFrequency (%)
e538
24.0%
r323
14.4%
g246
11.0%
n208
 
9.3%
i154
 
6.9%
f154
 
6.9%
A138
 
6.2%
t131
 
5.9%
d77
 
3.4%
S54
 
2.4%
Other values (4)216
9.6%
ValueCountFrequency (%)
323
28.6%
(269
23.8%
)269
23.8%
4138
12.2%
377
 
6.8%
554
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII3369
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
16.0%
r323
9.6%
323
9.6%
(269
 
8.0%
)269
 
8.0%
g246
 
7.3%
n208
 
6.2%
i154
 
4.6%
f154
 
4.6%
A138
 
4.1%
Other values (10)747
22.2%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.5 KiB
Agree (4)
101 
indifferent (3)
59 
Strongly agree (5)
54 
Dis-agree (2)
50 
Strongly disagree (1)
 
5

Length

Max length21
Median length13
Mean length13.08921933
Min length9

Characters and Unicode

Total characters3521
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowindifferent (3)
3rd rowAgree (4)
4th rowAgree (4)
5th rowindifferent (3)
ValueCountFrequency (%)
Agree (4)101
37.5%
indifferent (3)59
21.9%
Strongly agree (5)54
20.1%
Dis-agree (2)50
18.6%
Strongly disagree (1)5
 
1.9%
2021-05-01T14:30:44.055416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:44.192333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree155
26.0%
4101
16.9%
359
 
9.9%
indifferent59
 
9.9%
strongly59
 
9.9%
554
 
9.0%
250
 
8.4%
dis-agree50
 
8.4%
disagree5
 
0.8%
15
 
0.8%

Most occurring characters

ValueCountFrequency (%)
e538
15.3%
r328
 
9.3%
328
 
9.3%
g269
 
7.6%
(269
 
7.6%
)269
 
7.6%
n177
 
5.0%
i173
 
4.9%
f118
 
3.4%
t118
 
3.4%
Other values (15)934
26.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2126
60.4%
Space Separator328
 
9.3%
Open Punctuation269
 
7.6%
Decimal Number269
 
7.6%
Close Punctuation269
 
7.6%
Uppercase Letter210
 
6.0%
Dash Punctuation50
 
1.4%

Most frequent character per category

ValueCountFrequency (%)
e538
25.3%
r328
15.4%
g269
12.7%
n177
 
8.3%
i173
 
8.1%
f118
 
5.6%
t118
 
5.6%
a109
 
5.1%
d64
 
3.0%
o59
 
2.8%
Other values (3)173
 
8.1%
ValueCountFrequency (%)
4101
37.5%
359
21.9%
554
20.1%
250
18.6%
15
 
1.9%
ValueCountFrequency (%)
A101
48.1%
S59
28.1%
D50
23.8%
ValueCountFrequency (%)
328
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2336
66.3%
Common1185
33.7%

Most frequent character per script

ValueCountFrequency (%)
e538
23.0%
r328
14.0%
g269
11.5%
n177
 
7.6%
i173
 
7.4%
f118
 
5.1%
t118
 
5.1%
a109
 
4.7%
A101
 
4.3%
d64
 
2.7%
Other values (6)341
14.6%
ValueCountFrequency (%)
328
27.7%
(269
22.7%
)269
22.7%
4101
 
8.5%
359
 
5.0%
554
 
4.6%
-50
 
4.2%
250
 
4.2%
15
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII3521
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
15.3%
r328
 
9.3%
328
 
9.3%
g269
 
7.6%
(269
 
7.6%
)269
 
7.6%
n177
 
5.0%
i173
 
4.9%
f118
 
3.4%
t118
 
3.4%
Other values (15)934
26.5%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
indifferent (3)
100 
Agree (4)
59 
Strongly agree (5)
48 
Strongly disagree (1)
33 
Dis-agree (2)
29 

Length

Max length21
Median length15
Mean length14.73977695
Min length9

Characters and Unicode

Total characters3965
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowindifferent (3)
3rd rowAgree (4)
4th rowStrongly agree (5)
5th rowStrongly disagree (1)
ValueCountFrequency (%)
indifferent (3)100
37.2%
Agree (4)59
21.9%
Strongly agree (5)48
17.8%
Strongly disagree (1)33
 
12.3%
Dis-agree (2)29
 
10.8%
2021-05-01T14:30:44.636055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:44.766974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree107
17.3%
3100
16.2%
indifferent100
16.2%
strongly81
13.1%
459
9.5%
548
7.8%
disagree33
 
5.3%
133
 
5.3%
229
 
4.7%
dis-agree29
 
4.7%

Most occurring characters

ValueCountFrequency (%)
e538
13.6%
r350
 
8.8%
350
 
8.8%
n281
 
7.1%
(269
 
6.8%
)269
 
6.8%
i262
 
6.6%
g250
 
6.3%
f200
 
5.0%
t181
 
4.6%
Other values (15)1015
25.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2610
65.8%
Space Separator350
 
8.8%
Open Punctuation269
 
6.8%
Decimal Number269
 
6.8%
Close Punctuation269
 
6.8%
Uppercase Letter169
 
4.3%
Dash Punctuation29
 
0.7%

Most frequent character per category

ValueCountFrequency (%)
e538
20.6%
r350
13.4%
n281
10.8%
i262
10.0%
g250
9.6%
f200
 
7.7%
t181
 
6.9%
d133
 
5.1%
a110
 
4.2%
o81
 
3.1%
Other values (3)224
8.6%
ValueCountFrequency (%)
3100
37.2%
459
21.9%
548
17.8%
133
 
12.3%
229
 
10.8%
ValueCountFrequency (%)
S81
47.9%
A59
34.9%
D29
 
17.2%
ValueCountFrequency (%)
350
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2779
70.1%
Common1186
29.9%

Most frequent character per script

ValueCountFrequency (%)
e538
19.4%
r350
12.6%
n281
10.1%
i262
9.4%
g250
9.0%
f200
 
7.2%
t181
 
6.5%
d133
 
4.8%
a110
 
4.0%
S81
 
2.9%
Other values (6)393
14.1%
ValueCountFrequency (%)
350
29.5%
(269
22.7%
)269
22.7%
3100
 
8.4%
459
 
5.0%
548
 
4.0%
133
 
2.8%
-29
 
2.4%
229
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII3965
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.6%
r350
 
8.8%
350
 
8.8%
n281
 
7.1%
(269
 
6.8%
)269
 
6.8%
i262
 
6.6%
g250
 
6.3%
f200
 
5.0%
t181
 
4.6%
Other values (15)1015
25.6%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
indifferent (3)
101 
Strongly agree (5)
65 
Agree (4)
63 
Disagree (2)
22 
Strongly disagree (1)
18 

Length

Max length21
Median length15
Mean length14.47583643
Min length9

Characters and Unicode

Total characters3894
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStrongly agree (5)
2nd rowStrongly agree (5)
3rd rowindifferent (3)
4th rowAgree (4)
5th rowStrongly agree (5)
ValueCountFrequency (%)
indifferent (3)101
37.5%
Strongly agree (5)65
24.2%
Agree (4)63
23.4%
Disagree (2)22
 
8.2%
Strongly disagree (1)18
 
6.7%
2021-05-01T14:30:45.174876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:45.327308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree128
20.6%
3101
16.3%
indifferent101
16.3%
strongly83
13.4%
565
10.5%
463
10.1%
disagree40
 
6.4%
222
 
3.5%
118
 
2.9%

Most occurring characters

ValueCountFrequency (%)
e538
13.8%
r352
 
9.0%
352
 
9.0%
n285
 
7.3%
(269
 
6.9%
)269
 
6.9%
g251
 
6.4%
i242
 
6.2%
f202
 
5.2%
t184
 
4.7%
Other values (14)950
24.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2567
65.9%
Space Separator352
 
9.0%
Open Punctuation269
 
6.9%
Decimal Number269
 
6.9%
Close Punctuation269
 
6.9%
Uppercase Letter168
 
4.3%

Most frequent character per category

ValueCountFrequency (%)
e538
21.0%
r352
13.7%
n285
11.1%
g251
9.8%
i242
9.4%
f202
 
7.9%
t184
 
7.2%
d119
 
4.6%
a105
 
4.1%
o83
 
3.2%
Other values (3)206
 
8.0%
ValueCountFrequency (%)
3101
37.5%
565
24.2%
463
23.4%
222
 
8.2%
118
 
6.7%
ValueCountFrequency (%)
S83
49.4%
A63
37.5%
D22
 
13.1%
ValueCountFrequency (%)
352
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2735
70.2%
Common1159
29.8%

Most frequent character per script

ValueCountFrequency (%)
e538
19.7%
r352
12.9%
n285
10.4%
g251
9.2%
i242
8.8%
f202
 
7.4%
t184
 
6.7%
d119
 
4.4%
a105
 
3.8%
S83
 
3.0%
Other values (6)374
13.7%
ValueCountFrequency (%)
352
30.4%
(269
23.2%
)269
23.2%
3101
 
8.7%
565
 
5.6%
463
 
5.4%
222
 
1.9%
118
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII3894
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
13.8%
r352
 
9.0%
352
 
9.0%
n285
 
7.3%
(269
 
6.9%
)269
 
6.9%
g251
 
6.4%
i242
 
6.2%
f202
 
5.2%
t184
 
4.7%
Other values (14)950
24.4%
Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
Agree (4)
88 
indifferent (3)
88 
Strongly agree (5)
38 
Strongly disagree (1)
33 
Dis-agree (2)
22 

Length

Max length21
Median length15
Mean length14.03345725
Min length9

Characters and Unicode

Total characters3775
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree (4)
2nd rowStrongly agree (5)
3rd rowindifferent (3)
4th rowindifferent (3)
5th rowStrongly disagree (1)
ValueCountFrequency (%)
Agree (4)88
32.7%
indifferent (3)88
32.7%
Strongly agree (5)38
14.1%
Strongly disagree (1)33
 
12.3%
Dis-agree (2)22
 
8.2%
2021-05-01T14:30:45.855978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:46.031872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree126
20.7%
388
14.4%
indifferent88
14.4%
488
14.4%
strongly71
11.7%
538
 
6.2%
disagree33
 
5.4%
133
 
5.4%
222
 
3.6%
dis-agree22
 
3.6%

Most occurring characters

ValueCountFrequency (%)
e538
14.3%
r340
 
9.0%
340
 
9.0%
(269
 
7.1%
)269
 
7.1%
g252
 
6.7%
n247
 
6.5%
i231
 
6.1%
f176
 
4.7%
t159
 
4.2%
Other values (15)954
25.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2425
64.2%
Space Separator340
 
9.0%
Open Punctuation269
 
7.1%
Decimal Number269
 
7.1%
Close Punctuation269
 
7.1%
Uppercase Letter181
 
4.8%
Dash Punctuation22
 
0.6%

Most frequent character per category

ValueCountFrequency (%)
e538
22.2%
r340
14.0%
g252
10.4%
n247
10.2%
i231
9.5%
f176
 
7.3%
t159
 
6.6%
d121
 
5.0%
a93
 
3.8%
o71
 
2.9%
Other values (3)197
 
8.1%
ValueCountFrequency (%)
488
32.7%
388
32.7%
538
14.1%
133
 
12.3%
222
 
8.2%
ValueCountFrequency (%)
A88
48.6%
S71
39.2%
D22
 
12.2%
ValueCountFrequency (%)
340
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%
ValueCountFrequency (%)
-22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2606
69.0%
Common1169
31.0%

Most frequent character per script

ValueCountFrequency (%)
e538
20.6%
r340
13.0%
g252
9.7%
n247
9.5%
i231
8.9%
f176
 
6.8%
t159
 
6.1%
d121
 
4.6%
a93
 
3.6%
A88
 
3.4%
Other values (6)361
13.9%
ValueCountFrequency (%)
340
29.1%
(269
23.0%
)269
23.0%
488
 
7.5%
388
 
7.5%
538
 
3.3%
133
 
2.8%
-22
 
1.9%
222
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII3775
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
14.3%
r340
 
9.0%
340
 
9.0%
(269
 
7.1%
)269
 
7.1%
g252
 
6.7%
n247
 
6.5%
i231
 
6.1%
f176
 
4.7%
t159
 
4.2%
Other values (15)954
25.3%
Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
Agree (4)
149 
Strongly agree (5)
82 
indifferent (3)
38 

Length

Max length18
Median length9
Mean length12.59107807
Min length9

Characters and Unicode

Total characters3387
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStrongly agree (5)
2nd rowStrongly agree (5)
3rd rowAgree (4)
4th rowAgree (4)
5th rowStrongly agree (5)
ValueCountFrequency (%)
Agree (4)149
55.4%
Strongly agree (5)82
30.5%
indifferent (3)38
 
14.1%
2021-05-01T14:30:46.516571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:46.644489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
agree231
37.3%
4149
24.0%
582
 
13.2%
strongly82
 
13.2%
338
 
6.1%
indifferent38
 
6.1%

Most occurring characters

ValueCountFrequency (%)
e538
15.9%
r351
10.4%
351
10.4%
g313
9.2%
(269
 
7.9%
)269
 
7.9%
n158
 
4.7%
A149
 
4.4%
4149
 
4.4%
t120
 
3.5%
Other values (10)720
21.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1998
59.0%
Space Separator351
 
10.4%
Open Punctuation269
 
7.9%
Decimal Number269
 
7.9%
Close Punctuation269
 
7.9%
Uppercase Letter231
 
6.8%

Most frequent character per category

ValueCountFrequency (%)
e538
26.9%
r351
17.6%
g313
15.7%
n158
 
7.9%
t120
 
6.0%
o82
 
4.1%
l82
 
4.1%
y82
 
4.1%
a82
 
4.1%
i76
 
3.8%
Other values (2)114
 
5.7%
ValueCountFrequency (%)
4149
55.4%
582
30.5%
338
 
14.1%
ValueCountFrequency (%)
A149
64.5%
S82
35.5%
ValueCountFrequency (%)
351
100.0%
ValueCountFrequency (%)
(269
100.0%
ValueCountFrequency (%)
)269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2229
65.8%
Common1158
34.2%

Most frequent character per script

ValueCountFrequency (%)
e538
24.1%
r351
15.7%
g313
14.0%
n158
 
7.1%
A149
 
6.7%
t120
 
5.4%
S82
 
3.7%
o82
 
3.7%
l82
 
3.7%
y82
 
3.7%
Other values (4)272
12.2%
ValueCountFrequency (%)
351
30.3%
(269
23.2%
)269
23.2%
4149
12.9%
582
 
7.1%
338
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII3387
100.0%

Most frequent character per block

ValueCountFrequency (%)
e538
15.9%
r351
10.4%
351
10.4%
g313
9.2%
(269
 
7.9%
)269
 
7.9%
n158
 
4.7%
A149
 
4.4%
4149
 
4.4%
t120
 
3.5%
Other values (10)720
21.3%
Distinct9
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
82 
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com
44 
Amazon.in, Flipkart.com
32 
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com
29 
Amazon.in, Flipkart.com, Snapdeal.com
27 
Other values (4)
55 

Length

Max length60
Median length48
Mean length42.62081784
Min length9

Characters and Unicode

Total characters11465
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAmazon.in, Paytm.com
2nd rowAmazon.in, Flipkart.com, Myntra.com, Snapdeal.com
3rd rowAmazon.in, Paytm.com, Myntra.com
4th rowAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
5th rowAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
ValueCountFrequency (%)
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com82
30.5%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com44
16.4%
Amazon.in, Flipkart.com32
 
11.9%
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com29
 
10.8%
Amazon.in, Flipkart.com, Snapdeal.com27
 
10.0%
Amazon.in, Paytm.com, Myntra.com20
 
7.4%
Amazon.in16
 
5.9%
Amazon.in, Paytm.com12
 
4.5%
Amazon.in, Flipkart.com, Paytm.com7
 
2.6%
2021-05-01T14:30:47.056600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:47.213370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in269
27.8%
flipkart.com221
22.8%
snapdeal.com182
18.8%
paytm.com150
15.5%
myntra.com146
15.1%

Most occurring characters

ValueCountFrequency (%)
a1150
 
10.0%
m1118
 
9.8%
o968
 
8.4%
.968
 
8.4%
n866
 
7.6%
,699
 
6.1%
699
 
6.1%
c699
 
6.1%
t517
 
4.5%
i490
 
4.3%
Other values (13)3291
28.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8131
70.9%
Other Punctuation1667
 
14.5%
Uppercase Letter968
 
8.4%
Space Separator699
 
6.1%

Most frequent character per category

ValueCountFrequency (%)
a1150
14.1%
m1118
13.7%
o968
11.9%
n866
10.7%
c699
8.6%
t517
6.4%
i490
6.0%
l403
 
5.0%
p403
 
5.0%
r367
 
4.5%
Other values (5)1150
14.1%
ValueCountFrequency (%)
A269
27.8%
F221
22.8%
S182
18.8%
P150
15.5%
M146
15.1%
ValueCountFrequency (%)
.968
58.1%
,699
41.9%
ValueCountFrequency (%)
699
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9099
79.4%
Common2366
 
20.6%

Most frequent character per script

ValueCountFrequency (%)
a1150
12.6%
m1118
12.3%
o968
10.6%
n866
9.5%
c699
 
7.7%
t517
 
5.7%
i490
 
5.4%
l403
 
4.4%
p403
 
4.4%
r367
 
4.0%
Other values (10)2118
23.3%
ValueCountFrequency (%)
.968
40.9%
,699
29.5%
699
29.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII11465
100.0%

Most frequent character per block

ValueCountFrequency (%)
a1150
 
10.0%
m1118
 
9.8%
o968
 
8.4%
.968
 
8.4%
n866
 
7.6%
,699
 
6.1%
699
 
6.1%
c699
 
6.1%
t517
 
4.5%
i490
 
4.3%
Other values (13)3291
28.7%
Distinct10
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
64 
Amazon.in, Flipkart.com
44 
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com
44 
Amazon.in
29 
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com
22 
Other values (5)
66 

Length

Max length60
Median length35
Mean length37.07806691
Min length9

Characters and Unicode

Total characters9974
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPaytm.com
2nd rowAmazon.in, Flipkart.com, Myntra.com, Snapdeal.com
3rd rowAmazon.in, Paytm.com, Myntra.com
4th rowAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
5th rowAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
ValueCountFrequency (%)
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com64
23.8%
Amazon.in, Flipkart.com44
16.4%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com44
16.4%
Amazon.in29
10.8%
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com22
 
8.2%
Amazon.in, Paytm.com, Myntra.com20
 
7.4%
Amazon.in, Flipkart.com, Myntra.com19
 
7.1%
Paytm.com12
 
4.5%
Flipkart.com8
 
3.0%
Amazon.in, Paytm.com7
 
2.6%
2021-05-01T14:30:47.774426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:47.921486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in249
29.2%
flipkart.com201
23.6%
myntra.com147
17.3%
snapdeal.com130
15.3%
paytm.com125
14.7%

Most occurring characters

ValueCountFrequency (%)
a982
 
9.8%
m977
 
9.8%
.852
 
8.5%
o852
 
8.5%
n775
 
7.8%
c603
 
6.0%
,583
 
5.8%
583
 
5.8%
t473
 
4.7%
i450
 
4.5%
Other values (13)2844
28.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7104
71.2%
Other Punctuation1435
 
14.4%
Uppercase Letter852
 
8.5%
Space Separator583
 
5.8%

Most frequent character per category

ValueCountFrequency (%)
a982
13.8%
m977
13.8%
o852
12.0%
n775
10.9%
c603
8.5%
t473
6.7%
i450
6.3%
r348
 
4.9%
l331
 
4.7%
p331
 
4.7%
Other values (5)982
13.8%
ValueCountFrequency (%)
A249
29.2%
F201
23.6%
M147
17.3%
S130
15.3%
P125
14.7%
ValueCountFrequency (%)
.852
59.4%
,583
40.6%
ValueCountFrequency (%)
583
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7956
79.8%
Common2018
 
20.2%

Most frequent character per script

ValueCountFrequency (%)
a982
12.3%
m977
12.3%
o852
10.7%
n775
9.7%
c603
 
7.6%
t473
 
5.9%
i450
 
5.7%
r348
 
4.4%
l331
 
4.2%
p331
 
4.2%
Other values (10)1834
23.1%
ValueCountFrequency (%)
.852
42.2%
,583
28.9%
583
28.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII9974
100.0%

Most frequent character per block

ValueCountFrequency (%)
a982
 
9.8%
m977
 
9.8%
.852
 
8.5%
o852
 
8.5%
n775
 
7.8%
c603
 
6.0%
,583
 
5.8%
583
 
5.8%
t473
 
4.7%
i450
 
4.5%
Other values (13)2844
28.5%
Distinct10
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
Amazon.in, Flipkart.com
87 
Amazon.in
44 
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
36 
Amazon.in, Paytm.com, Myntra.com
20 
Amazon.in, Myntra.com
15 
Other values (5)
67 

Length

Max length60
Median length23
Mean length27.43494424
Min length9

Characters and Unicode

Total characters7380
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFlipkart.com
2nd rowAmazon.in, Myntra.com
3rd rowAmazon.in, Paytm.com, Myntra.com
4th rowAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
5th rowMyntra.com
ValueCountFrequency (%)
Amazon.in, Flipkart.com87
32.3%
Amazon.in44
16.4%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com36
13.4%
Amazon.in, Paytm.com, Myntra.com20
 
7.4%
Amazon.in, Myntra.com15
 
5.6%
Myntra.com15
 
5.6%
Flipkart.com, Myntra.com15
 
5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com14
 
5.2%
Flipkart.com12
 
4.5%
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com11
 
4.1%
2021-05-01T14:30:48.631956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:48.827837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in227
35.2%
flipkart.com175
27.1%
myntra.com115
17.8%
paytm.com67
 
10.4%
snapdeal.com61
 
9.5%

Most occurring characters

ValueCountFrequency (%)
m712
 
9.6%
a706
 
9.6%
.645
 
8.7%
o645
 
8.7%
n630
 
8.5%
c418
 
5.7%
i402
 
5.4%
,376
 
5.1%
376
 
5.1%
t357
 
4.8%
Other values (13)2113
28.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5338
72.3%
Other Punctuation1021
 
13.8%
Uppercase Letter645
 
8.7%
Space Separator376
 
5.1%

Most frequent character per category

ValueCountFrequency (%)
m712
13.3%
a706
13.2%
o645
12.1%
n630
11.8%
c418
7.8%
i402
7.5%
t357
6.7%
r290
5.4%
l236
 
4.4%
p236
 
4.4%
Other values (5)706
13.2%
ValueCountFrequency (%)
A227
35.2%
F175
27.1%
M115
17.8%
P67
 
10.4%
S61
 
9.5%
ValueCountFrequency (%)
.645
63.2%
,376
36.8%
ValueCountFrequency (%)
376
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5983
81.1%
Common1397
 
18.9%

Most frequent character per script

ValueCountFrequency (%)
m712
11.9%
a706
11.8%
o645
10.8%
n630
10.5%
c418
 
7.0%
i402
 
6.7%
t357
 
6.0%
r290
 
4.8%
l236
 
3.9%
p236
 
3.9%
Other values (10)1351
22.6%
ValueCountFrequency (%)
.645
46.2%
,376
26.9%
376
26.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII7380
100.0%

Most frequent character per block

ValueCountFrequency (%)
m712
 
9.6%
a706
 
9.6%
.645
 
8.7%
o645
 
8.7%
n630
 
8.5%
c418
 
5.7%
i402
 
5.4%
,376
 
5.1%
376
 
5.1%
t357
 
4.8%
Other values (13)2113
28.6%
Distinct9
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
Amazon.in, Flipkart.com
130 
Amazon.in
43 
Amazon.in, Myntra.com
20 
Myntra.com
15 
Flipkart.com, Myntra.com
15 
Other values (4)
46 

Length

Max length49
Median length23
Mean length20.9739777
Min length9

Characters and Unicode

Total characters5642
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFlipkart.com
2nd rowFlipkart.com, Myntra.com
3rd rowAmazon.in, Myntra.com
4th rowAmazon.in, Flipkart.com
5th rowMyntra.com
ValueCountFrequency (%)
Amazon.in, Flipkart.com130
48.3%
Amazon.in43
 
16.0%
Amazon.in, Myntra.com20
 
7.4%
Myntra.com15
 
5.6%
Flipkart.com, Myntra.com15
 
5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com14
 
5.2%
Amazon.in, Flipkart.com, Paytm.com13
 
4.8%
Flipkart.com12
 
4.5%
Paytm.com7
 
2.6%
2021-05-01T14:30:49.431463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:49.663317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in220
43.8%
flipkart.com184
36.7%
myntra.com64
 
12.7%
paytm.com20
 
4.0%
snapdeal.com14
 
2.8%

Most occurring characters

ValueCountFrequency (%)
m522
 
9.3%
n518
 
9.2%
a516
 
9.1%
.502
 
8.9%
o502
 
8.9%
i404
 
7.2%
c282
 
5.0%
t268
 
4.8%
r248
 
4.4%
,233
 
4.1%
Other values (13)1647
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4172
73.9%
Other Punctuation735
 
13.0%
Uppercase Letter502
 
8.9%
Space Separator233
 
4.1%

Most frequent character per category

ValueCountFrequency (%)
m522
12.5%
n518
12.4%
a516
12.4%
o502
12.0%
i404
9.7%
c282
6.8%
t268
6.4%
r248
5.9%
z220
5.3%
l198
 
4.7%
Other values (5)494
11.8%
ValueCountFrequency (%)
A220
43.8%
F184
36.7%
M64
 
12.7%
P20
 
4.0%
S14
 
2.8%
ValueCountFrequency (%)
.502
68.3%
,233
31.7%
ValueCountFrequency (%)
233
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4674
82.8%
Common968
 
17.2%

Most frequent character per script

ValueCountFrequency (%)
m522
11.2%
n518
11.1%
a516
11.0%
o502
10.7%
i404
8.6%
c282
 
6.0%
t268
 
5.7%
r248
 
5.3%
A220
 
4.7%
z220
 
4.7%
Other values (10)974
20.8%
ValueCountFrequency (%)
.502
51.9%
,233
24.1%
233
24.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII5642
100.0%

Most frequent character per block

ValueCountFrequency (%)
m522
 
9.3%
n518
 
9.2%
a516
 
9.1%
.502
 
8.9%
o502
 
8.9%
i404
 
7.2%
c282
 
5.0%
t268
 
4.8%
r248
 
4.4%
,233
 
4.1%
Other values (13)1647
29.2%
Distinct11
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
Amazon.in, Flipkart.com
100 
Amazon.in
43 
Amazon.in, Flipkart.com, Paytm.com
24 
Amazon.in, Paytm.com, Myntra.com
20 
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
15 
Other values (6)
67 

Length

Max length60
Median length23
Mean length26.16728625
Min length9

Characters and Unicode

Total characters7039
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSnapdeal.com
2nd rowAmazon.in, Flipkart.com, Myntra.com
3rd rowAmazon.in, Paytm.com, Myntra.com
4th rowAmazon.in, Flipkart.com
5th rowAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
ValueCountFrequency (%)
Amazon.in, Flipkart.com100
37.2%
Amazon.in43
16.0%
Amazon.in, Flipkart.com, Paytm.com24
 
8.9%
Amazon.in, Paytm.com, Myntra.com20
 
7.4%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com15
 
5.6%
Amazon.in, Flipkart.com, Myntra.com15
 
5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com14
 
5.2%
Snapdeal.com12
 
4.5%
Flipkart.com, Snapdeal.com11
 
4.1%
Flipkart.com8
 
3.0%
2021-05-01T14:30:50.187995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
amazon.in238
38.8%
flipkart.com194
31.6%
myntra.com64
 
10.4%
snapdeal.com59
 
9.6%
paytm.com59
 
9.6%

Most occurring characters

ValueCountFrequency (%)
a673
 
9.6%
m673
 
9.6%
.614
 
8.7%
o614
 
8.7%
n599
 
8.5%
i432
 
6.1%
c376
 
5.3%
,345
 
4.9%
345
 
4.9%
t317
 
4.5%
Other values (13)2051
29.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5121
72.8%
Other Punctuation959
 
13.6%
Uppercase Letter614
 
8.7%
Space Separator345
 
4.9%

Most frequent character per category

ValueCountFrequency (%)
a673
13.1%
m673
13.1%
o614
12.0%
n599
11.7%
i432
8.4%
c376
7.3%
t317
6.2%
r258
 
5.0%
p253
 
4.9%
l253
 
4.9%
Other values (5)673
13.1%
ValueCountFrequency (%)
A238
38.8%
F194
31.6%
M64
 
10.4%
S59
 
9.6%
P59
 
9.6%
ValueCountFrequency (%)
.614
64.0%
,345
36.0%
ValueCountFrequency (%)
345
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5735
81.5%
Common1304
 
18.5%

Most frequent character per script

ValueCountFrequency (%)
a673
11.7%
m673
11.7%
o614
10.7%
n599
10.4%
i432
 
7.5%
c376
 
6.6%
t317
 
5.5%
r258
 
4.5%
p253
 
4.4%
l253
 
4.4%
Other values (10)1287
22.4%
ValueCountFrequency (%)
.614
47.1%
,345
26.5%
345
26.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII7039
100.0%

Most frequent character per block

ValueCountFrequency (%)
a673
 
9.6%
m673
 
9.6%
.614
 
8.7%
o614
 
8.7%
n599
 
8.5%
i432
 
6.1%
c376
 
5.3%
,345
 
4.9%
345
 
4.9%
t317
 
4.5%
Other values (13)2051
29.1%
Distinct10
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
Amazon.in
51 
Amazon.in, Paytm.com
44 
Amazon.in, Flipkart.com
30 
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
30 
Amazon.in, Flipkart.com, Myntra.com
30 
Other values (5)
84 

Length

Max length60
Median length23
Mean length28.17843866
Min length9

Characters and Unicode

Total characters7580
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSnapdeal.com
2nd rowAmazon.in, Flipkart.com, Myntra.com
3rd rowAmazon.in, Paytm.com
4th rowAmazon.in, Flipkart.com, Snapdeal.com
5th rowAmazon.in
ValueCountFrequency (%)
Amazon.in51
19.0%
Amazon.in, Paytm.com44
16.4%
Amazon.in, Flipkart.com30
11.2%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com30
11.2%
Amazon.in, Flipkart.com, Myntra.com30
11.2%
Amazon.in, Flipkart.com, Paytm.com25
9.3%
Amazon.in, Flipkart.com, Snapdeal.com25
9.3%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com14
 
5.2%
Snapdeal.com12
 
4.5%
Flipkart.com8
 
3.0%
2021-05-01T14:30:50.618198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:50.778409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in249
37.4%
flipkart.com162
24.4%
paytm.com99
 
14.9%
snapdeal.com81
 
12.2%
myntra.com74
 
11.1%

Most occurring characters

ValueCountFrequency (%)
m764
 
10.1%
a746
 
9.8%
.665
 
8.8%
o665
 
8.8%
n653
 
8.6%
c416
 
5.5%
i411
 
5.4%
,396
 
5.2%
396
 
5.2%
t335
 
4.4%
Other values (13)2133
28.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5458
72.0%
Other Punctuation1061
 
14.0%
Uppercase Letter665
 
8.8%
Space Separator396
 
5.2%

Most frequent character per category

ValueCountFrequency (%)
m764
14.0%
a746
13.7%
o665
12.2%
n653
12.0%
c416
7.6%
i411
7.5%
t335
6.1%
z249
 
4.6%
p243
 
4.5%
l243
 
4.5%
Other values (5)733
13.4%
ValueCountFrequency (%)
A249
37.4%
F162
24.4%
P99
 
14.9%
S81
 
12.2%
M74
 
11.1%
ValueCountFrequency (%)
.665
62.7%
,396
37.3%
ValueCountFrequency (%)
396
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6123
80.8%
Common1457
 
19.2%

Most frequent character per script

ValueCountFrequency (%)
m764
12.5%
a746
12.2%
o665
10.9%
n653
10.7%
c416
 
6.8%
i411
 
6.7%
t335
 
5.5%
A249
 
4.1%
z249
 
4.1%
p243
 
4.0%
Other values (10)1392
22.7%
ValueCountFrequency (%)
.665
45.6%
,396
27.2%
396
27.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII7580
100.0%

Most frequent character per block

ValueCountFrequency (%)
m764
 
10.1%
a746
 
9.8%
.665
 
8.8%
o665
 
8.8%
n653
 
8.6%
c416
 
5.5%
i411
 
5.4%
,396
 
5.2%
396
 
5.2%
t335
 
4.4%
Other values (13)2133
28.1%
Distinct10
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size23.4 KiB
Amazon.in
61 
Amazon.in, Flipkart.com
50 
Amazon.in, Flipkart.com, Paytm.com
36 
Amazon.in, Paytm.com, Myntra.com
35 
Amazon.in, Flipkart.com, Snapdeal.com
18 
Other values (5)
69 

Length

Max length49
Median length23
Mean length24.00371747
Min length9

Characters and Unicode

Total characters6457
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPaytm.com
2nd rowMyntra.com
3rd rowAmazon.in, Paytm.com, Myntra.com
4th rowAmazon.in, Flipkart.com, Paytm.com
5th rowAmazon.in, Paytm.com, Myntra.com
ValueCountFrequency (%)
Amazon.in61
22.7%
Amazon.in, Flipkart.com50
18.6%
Amazon.in, Flipkart.com, Paytm.com36
13.4%
Amazon.in, Paytm.com, Myntra.com35
13.0%
Amazon.in, Flipkart.com, Snapdeal.com18
 
6.7%
Flipkart.com15
 
5.6%
Myntra.com15
 
5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com14
 
5.2%
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com13
 
4.8%
Paytm.com12
 
4.5%
2021-05-01T14:30:51.754357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:51.947236image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in227
39.3%
flipkart.com146
25.3%
paytm.com96
16.6%
myntra.com64
 
11.1%
snapdeal.com45
 
7.8%

Most occurring characters

ValueCountFrequency (%)
m674
 
10.4%
a623
 
9.6%
.578
 
9.0%
o578
 
9.0%
n563
 
8.7%
i373
 
5.8%
c351
 
5.4%
,309
 
4.8%
309
 
4.8%
t306
 
4.7%
Other values (13)1793
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4683
72.5%
Other Punctuation887
 
13.7%
Uppercase Letter578
 
9.0%
Space Separator309
 
4.8%

Most frequent character per category

ValueCountFrequency (%)
m674
14.4%
a623
13.3%
o578
12.3%
n563
12.0%
i373
8.0%
c351
7.5%
t306
6.5%
z227
 
4.8%
r210
 
4.5%
l191
 
4.1%
Other values (5)587
12.5%
ValueCountFrequency (%)
A227
39.3%
F146
25.3%
P96
16.6%
M64
 
11.1%
S45
 
7.8%
ValueCountFrequency (%)
.578
65.2%
,309
34.8%
ValueCountFrequency (%)
309
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5261
81.5%
Common1196
 
18.5%

Most frequent character per script

ValueCountFrequency (%)
m674
12.8%
a623
11.8%
o578
11.0%
n563
10.7%
i373
 
7.1%
c351
 
6.7%
t306
 
5.8%
A227
 
4.3%
z227
 
4.3%
r210
 
4.0%
Other values (10)1129
21.5%
ValueCountFrequency (%)
.578
48.3%
,309
25.8%
309
25.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII6457
100.0%

Most frequent character per block

ValueCountFrequency (%)
m674
 
10.4%
a623
 
9.6%
.578
 
9.0%
o578
 
9.0%
n563
 
8.7%
i373
 
5.8%
c351
 
5.4%
,309
 
4.8%
309
 
4.8%
t306
 
4.7%
Other values (13)1793
27.8%
Distinct9
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
Amazon.com
66 
Amazon.com, Flipkart.com, Paytm.com
47 
Amazon.com, Flipkart.com
37 
Amazon.com, Flipkart.com, Myntra.com
30 
Paytm.com
25 
Other values (4)
64 

Length

Max length57
Median length24
Mean length24.79182156
Min length9

Characters and Unicode

Total characters6669
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPaytm.com
2nd rowAmazon.com, Flipkart.com, Myntra.com
3rd rowAmazon.com, Paytm.com, Myntra.com
4th rowAmazon.com, Flipkart.com, Paytm.com
5th rowAmazon.com, Flipkart.com, Paytm.com, Myntra.com, Snapdeal
ValueCountFrequency (%)
Amazon.com66
24.5%
Amazon.com, Flipkart.com, Paytm.com47
17.5%
Amazon.com, Flipkart.com37
13.8%
Amazon.com, Flipkart.com, Myntra.com30
11.2%
Paytm.com25
 
9.3%
Amazon.com, Paytm.com, Myntra.com20
 
7.4%
Amazon.com, Flipkart.com, Paytm.com, Myntra.com, Snapdeal15
 
5.6%
Flipkart.com15
 
5.6%
Flipkart.com, Myntra.com, Snapdeal14
 
5.2%
2021-05-01T14:30:52.518535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:52.654033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.com215
36.6%
flipkart.com158
26.9%
paytm.com107
18.2%
myntra.com79
 
13.4%
snapdeal29
 
4.9%

Most occurring characters

ValueCountFrequency (%)
m881
13.2%
o774
11.6%
a617
 
9.3%
.559
 
8.4%
c559
 
8.4%
t344
 
5.2%
n323
 
4.8%
,319
 
4.8%
319
 
4.8%
r237
 
3.6%
Other values (13)1737
26.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4884
73.2%
Other Punctuation878
 
13.2%
Uppercase Letter588
 
8.8%
Space Separator319
 
4.8%

Most frequent character per category

ValueCountFrequency (%)
m881
18.0%
o774
15.8%
a617
12.6%
c559
11.4%
t344
 
7.0%
n323
 
6.6%
r237
 
4.9%
z215
 
4.4%
l187
 
3.8%
p187
 
3.8%
Other values (5)560
11.5%
ValueCountFrequency (%)
A215
36.6%
F158
26.9%
P107
18.2%
M79
 
13.4%
S29
 
4.9%
ValueCountFrequency (%)
.559
63.7%
,319
36.3%
ValueCountFrequency (%)
319
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5472
82.1%
Common1197
 
17.9%

Most frequent character per script

ValueCountFrequency (%)
m881
16.1%
o774
14.1%
a617
11.3%
c559
10.2%
t344
 
6.3%
n323
 
5.9%
r237
 
4.3%
A215
 
3.9%
z215
 
3.9%
l187
 
3.4%
Other values (10)1120
20.5%
ValueCountFrequency (%)
.559
46.7%
,319
26.6%
319
26.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII6669
100.0%

Most frequent character per block

ValueCountFrequency (%)
m881
13.2%
o774
11.6%
a617
 
9.3%
.559
 
8.4%
c559
 
8.4%
t344
 
5.2%
n323
 
4.8%
,319
 
4.8%
319
 
4.8%
r237
 
3.6%
Other values (13)1737
26.0%
Distinct11
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
Amazon.in, Flipkart.com
65 
Amazon.in, Flipkart.com, Myntra.com
40 
Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com
39 
Amazon.in
23 
Patym.com, Myntra.com
20 
Other values (6)
82 

Length

Max length60
Median length23
Mean length31.28252788
Min length9

Characters and Unicode

Total characters8415
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPatym.com
2nd rowAmazon.in, Flipkart.com, Myntra.com
3rd rowPatym.com, Myntra.com
4th rowAmazon.in, Flipkart.com, Myntra.com
5th rowAmazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com
ValueCountFrequency (%)
Amazon.in, Flipkart.com65
24.2%
Amazon.in, Flipkart.com, Myntra.com40
14.9%
Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com39
14.5%
Amazon.in23
 
8.6%
Patym.com, Myntra.com20
 
7.4%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com19
 
7.1%
Amazon.in, Flipkart.com, Snapdeal.com18
 
6.7%
Flipkart.com, Myntra.com, Snapdeal.com14
 
5.2%
Patym.com12
 
4.5%
Amazon.in, Patym.com11
 
4.1%
2021-05-01T14:30:53.236058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
amazon.in215
29.8%
flipkart.com203
28.1%
myntra.com132
18.3%
snapdeal.com90
12.5%
patym.com82
 
11.4%

Most occurring characters

ValueCountFrequency (%)
a812
 
9.6%
m804
 
9.6%
.722
 
8.6%
o722
 
8.6%
n652
 
7.7%
c507
 
6.0%
,453
 
5.4%
453
 
5.4%
i418
 
5.0%
t417
 
5.0%
Other values (13)2455
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6065
72.1%
Other Punctuation1175
 
14.0%
Uppercase Letter722
 
8.6%
Space Separator453
 
5.4%

Most frequent character per category

ValueCountFrequency (%)
a812
13.4%
m804
13.3%
o722
11.9%
n652
10.8%
c507
8.4%
i418
6.9%
t417
6.9%
r335
5.5%
l293
 
4.8%
p293
 
4.8%
Other values (5)812
13.4%
ValueCountFrequency (%)
A215
29.8%
F203
28.1%
M132
18.3%
S90
12.5%
P82
 
11.4%
ValueCountFrequency (%)
.722
61.4%
,453
38.6%
ValueCountFrequency (%)
453
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6787
80.7%
Common1628
 
19.3%

Most frequent character per script

ValueCountFrequency (%)
a812
12.0%
m804
11.8%
o722
10.6%
n652
9.6%
c507
 
7.5%
i418
 
6.2%
t417
 
6.1%
r335
 
4.9%
l293
 
4.3%
p293
 
4.3%
Other values (10)1534
22.6%
ValueCountFrequency (%)
.722
44.3%
,453
27.8%
453
27.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII8415
100.0%

Most frequent character per block

ValueCountFrequency (%)
a812
 
9.6%
m804
 
9.6%
.722
 
8.6%
o722
 
8.6%
n652
 
7.7%
c507
 
6.0%
,453
 
5.4%
453
 
5.4%
i418
 
5.0%
t417
 
5.0%
Other values (13)2455
29.2%
Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size22.4 KiB
Amazon.in
107 
Amazon.in, Flipkart.com
82 
Amazon.in, Flipkart.com, Snapdeal.com
36 
Flipkart.com
15 
Amazon.in, Flipkart.com, Myntra.com
15 

Length

Max length38
Median length23
Mean length20.14126394
Min length9

Characters and Unicode

Total characters5418
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAmazon.in
2nd rowAmazon.in, Flipkart.com
3rd rowAmazon.in
4th rowAmazon.in, Flipkart.com, Snapdeal.com
5th rowAmazon.in
ValueCountFrequency (%)
Amazon.in107
39.8%
Amazon.in, Flipkart.com82
30.5%
Amazon.in, Flipkart.com, Snapdeal.com36
 
13.4%
Flipkart.com15
 
5.6%
Amazon.in, Flipkart.com, Myntra.com15
 
5.6%
Flipkart.com, Myntra.com, Snapdeal.com14
 
5.2%
2021-05-01T14:30:53.676812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:53.841293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in240
49.9%
flipkart.com162
33.7%
snapdeal.com50
 
10.4%
myntra.com29
 
6.0%

Most occurring characters

ValueCountFrequency (%)
n559
 
10.3%
a531
 
9.8%
m481
 
8.9%
o481
 
8.9%
.481
 
8.9%
i402
 
7.4%
c241
 
4.4%
A240
 
4.4%
z240
 
4.4%
,212
 
3.9%
Other values (12)1550
28.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4032
74.4%
Other Punctuation693
 
12.8%
Uppercase Letter481
 
8.9%
Space Separator212
 
3.9%

Most frequent character per category

ValueCountFrequency (%)
n559
13.9%
a531
13.2%
m481
11.9%
o481
11.9%
i402
10.0%
c241
6.0%
z240
6.0%
l212
 
5.3%
p212
 
5.3%
r191
 
4.7%
Other values (5)482
12.0%
ValueCountFrequency (%)
A240
49.9%
F162
33.7%
S50
 
10.4%
M29
 
6.0%
ValueCountFrequency (%)
.481
69.4%
,212
30.6%
ValueCountFrequency (%)
212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4513
83.3%
Common905
 
16.7%

Most frequent character per script

ValueCountFrequency (%)
n559
12.4%
a531
11.8%
m481
10.7%
o481
10.7%
i402
8.9%
c241
 
5.3%
A240
 
5.3%
z240
 
5.3%
l212
 
4.7%
p212
 
4.7%
Other values (9)914
20.3%
ValueCountFrequency (%)
.481
53.1%
,212
23.4%
212
23.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII5418
100.0%

Most frequent character per block

ValueCountFrequency (%)
n559
 
10.3%
a531
 
9.8%
m481
 
8.9%
o481
 
8.9%
.481
 
8.9%
i402
 
7.4%
c241
 
4.4%
A240
 
4.4%
z240
 
4.4%
,212
 
3.9%
Other values (12)1550
28.6%
Distinct11
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
Amazon.in
71 
Amazon.in, Flipkart.com
54 
Amazon.in, Flipkart.com, Myntra.com
25 
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
24 
Paytm.com
18 
Other values (6)
77 

Length

Max length60
Median length23
Mean length23.44609665
Min length9

Characters and Unicode

Total characters6307
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAmazon.in
2nd rowMyntra.com
3rd rowAmazon.in
4th rowAmazon.in, Flipkart.com, Myntra.com
5th rowAmazon.in, Paytm.com
ValueCountFrequency (%)
Amazon.in71
26.4%
Amazon.in, Flipkart.com54
20.1%
Amazon.in, Flipkart.com, Myntra.com25
 
9.3%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com24
 
8.9%
Paytm.com18
 
6.7%
Amazon.in, Paytm.com15
 
5.6%
Flipkart.com15
 
5.6%
Myntra.com15
 
5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com14
 
5.2%
Amazon.in, Flipkart.com, Paytm.com11
 
4.1%
2021-05-01T14:30:54.336417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
amazon.in221
39.3%
flipkart.com150
26.7%
myntra.com78
 
13.9%
paytm.com68
 
12.1%
snapdeal.com45
 
8.0%

Most occurring characters

ValueCountFrequency (%)
m630
 
10.0%
a607
 
9.6%
n565
 
9.0%
o562
 
8.9%
.562
 
8.9%
i371
 
5.9%
c341
 
5.4%
t296
 
4.7%
,293
 
4.6%
293
 
4.6%
Other values (13)1787
28.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4597
72.9%
Other Punctuation855
 
13.6%
Uppercase Letter562
 
8.9%
Space Separator293
 
4.6%

Most frequent character per category

ValueCountFrequency (%)
m630
13.7%
a607
13.2%
n565
12.3%
o562
12.2%
i371
8.1%
c341
7.4%
t296
6.4%
r228
 
5.0%
z221
 
4.8%
l195
 
4.2%
Other values (5)581
12.6%
ValueCountFrequency (%)
A221
39.3%
F150
26.7%
M78
 
13.9%
P68
 
12.1%
S45
 
8.0%
ValueCountFrequency (%)
.562
65.7%
,293
34.3%
ValueCountFrequency (%)
293
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5159
81.8%
Common1148
 
18.2%

Most frequent character per script

ValueCountFrequency (%)
m630
12.2%
a607
11.8%
n565
11.0%
o562
10.9%
i371
 
7.2%
c341
 
6.6%
t296
 
5.7%
r228
 
4.4%
A221
 
4.3%
z221
 
4.3%
Other values (10)1117
21.7%
ValueCountFrequency (%)
.562
49.0%
,293
25.5%
293
25.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII6307
100.0%

Most frequent character per block

ValueCountFrequency (%)
m630
 
10.0%
a607
 
9.6%
n565
 
9.0%
o562
 
8.9%
.562
 
8.9%
i371
 
5.9%
c341
 
5.4%
t296
 
4.7%
,293
 
4.6%
293
 
4.6%
Other values (13)1787
28.3%
Distinct11
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
Amazon.in
51 
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
42 
Flipkart.com
33 
Amazon.in, Flipkart.com, Snapdeal.com
25 
Amazon.in, Flipkart.com
24 
Other values (6)
94 

Length

Max length60
Median length23
Mean length27.04089219
Min length9

Characters and Unicode

Total characters7274
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAmazon.in
2nd rowMyntra.com
3rd rowAmazon.in, Paytm.com, Myntra.com
4th rowAmazon.in, Flipkart.com, Snapdeal.com
5th rowPaytm.com
ValueCountFrequency (%)
Amazon.in51
19.0%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com42
15.6%
Flipkart.com33
12.3%
Amazon.in, Flipkart.com, Snapdeal.com25
9.3%
Amazon.in, Flipkart.com24
8.9%
Amazon.in, Paytm.com, Myntra.com20
 
7.4%
Amazon.in, Snapdeal.com19
 
7.1%
Paytm.com15
 
5.6%
Myntra.com15
 
5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com14
 
5.2%
2021-05-01T14:30:54.816146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
amazon.in206
32.5%
flipkart.com149
23.5%
snapdeal.com100
15.8%
myntra.com91
14.4%
paytm.com88
13.9%

Most occurring characters

ValueCountFrequency (%)
a734
 
10.1%
m722
 
9.9%
o634
 
8.7%
.634
 
8.7%
n603
 
8.3%
c428
 
5.9%
,365
 
5.0%
365
 
5.0%
i355
 
4.9%
t328
 
4.5%
Other values (13)2106
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5276
72.5%
Other Punctuation999
 
13.7%
Uppercase Letter634
 
8.7%
Space Separator365
 
5.0%

Most frequent character per category

ValueCountFrequency (%)
a734
13.9%
m722
13.7%
o634
12.0%
n603
11.4%
c428
8.1%
i355
6.7%
t328
6.2%
l249
 
4.7%
p249
 
4.7%
r240
 
4.5%
Other values (5)734
13.9%
ValueCountFrequency (%)
A206
32.5%
F149
23.5%
S100
15.8%
M91
14.4%
P88
13.9%
ValueCountFrequency (%)
.634
63.5%
,365
36.5%
ValueCountFrequency (%)
365
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5910
81.2%
Common1364
 
18.8%

Most frequent character per script

ValueCountFrequency (%)
a734
12.4%
m722
12.2%
o634
10.7%
n603
10.2%
c428
 
7.2%
i355
 
6.0%
t328
 
5.5%
l249
 
4.2%
p249
 
4.2%
r240
 
4.1%
Other values (10)1368
23.1%
ValueCountFrequency (%)
.634
46.5%
,365
26.8%
365
26.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII7274
100.0%

Most frequent character per block

ValueCountFrequency (%)
a734
 
10.1%
m722
 
9.9%
o634
 
8.7%
.634
 
8.7%
n603
 
8.3%
c428
 
5.9%
,365
 
5.0%
365
 
5.0%
i355
 
4.9%
t328
 
4.5%
Other values (13)2106
29.0%
Distinct9
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size23.2 KiB
Amazon.in
76 
Amazon.in, Flipkart.com, Snapdeal.com
36 
Amazon.in, Myntra.com
35 
Amazon.in, Flipkart.com
31 
Flipkart.com
27 
Other values (4)
64 

Length

Max length60
Median length21
Mean length23.48327138
Min length9

Characters and Unicode

Total characters6317
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFlipkart.com
2nd rowMyntra.com
3rd rowAmazon.in, Myntra.com
4th rowAmazon.in, Flipkart.com, Snapdeal.com
5th rowAmazon.in, Myntra.com
ValueCountFrequency (%)
Amazon.in76
28.3%
Amazon.in, Flipkart.com, Snapdeal.com36
13.4%
Amazon.in, Myntra.com35
13.0%
Amazon.in, Flipkart.com31
11.5%
Flipkart.com27
 
10.0%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com25
 
9.3%
Myntra.com15
 
5.6%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com13
 
4.8%
Amazon.in, Flipkart.com, Paytm.com11
 
4.1%
2021-05-01T14:30:55.266012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:55.412923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in227
40.8%
flipkart.com143
25.7%
myntra.com88
 
15.8%
snapdeal.com74
 
13.3%
paytm.com24
 
4.3%

Most occurring characters

ValueCountFrequency (%)
a630
 
10.0%
n616
 
9.8%
m580
 
9.2%
.556
 
8.8%
o556
 
8.8%
i370
 
5.9%
c329
 
5.2%
,287
 
4.5%
287
 
4.5%
t255
 
4.0%
Other values (13)1851
29.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4631
73.3%
Other Punctuation843
 
13.3%
Uppercase Letter556
 
8.8%
Space Separator287
 
4.5%

Most frequent character per category

ValueCountFrequency (%)
a630
13.6%
n616
13.3%
m580
12.5%
o556
12.0%
i370
8.0%
c329
7.1%
t255
5.5%
r231
 
5.0%
z227
 
4.9%
l217
 
4.7%
Other values (5)620
13.4%
ValueCountFrequency (%)
A227
40.8%
F143
25.7%
M88
 
15.8%
S74
 
13.3%
P24
 
4.3%
ValueCountFrequency (%)
.556
66.0%
,287
34.0%
ValueCountFrequency (%)
287
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5187
82.1%
Common1130
 
17.9%

Most frequent character per script

ValueCountFrequency (%)
a630
12.1%
n616
11.9%
m580
11.2%
o556
10.7%
i370
 
7.1%
c329
 
6.3%
t255
 
4.9%
r231
 
4.5%
A227
 
4.4%
z227
 
4.4%
Other values (10)1166
22.5%
ValueCountFrequency (%)
.556
49.2%
,287
25.4%
287
25.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII6317
100.0%

Most frequent character per block

ValueCountFrequency (%)
a630
 
10.0%
n616
 
9.8%
m580
 
9.2%
.556
 
8.8%
o556
 
8.8%
i370
 
5.9%
c329
 
5.2%
,287
 
4.5%
287
 
4.5%
t255
 
4.0%
Other values (13)1851
29.3%
Distinct10
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size23.3 KiB
Amazon.in, Flipkart.com, Myntra.com, Snapdeal
61 
Amazon.in
60 
Amazon.in, Flipkart.com
39 
Amazon.in, Snapdeal
26 
Myntra.com
20 
Other values (5)
63 

Length

Max length45
Median length21
Mean length23.65055762
Min length9

Characters and Unicode

Total characters6362
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPaytm.com
2nd rowAmazon.in, Flipkart.com, Myntra.com
3rd rowMyntra.com
4th rowAmazon.in, Flipkart.com, Myntra.com, Snapdeal
5th rowAmazon.in, Myntra.com
ValueCountFrequency (%)
Amazon.in, Flipkart.com, Myntra.com, Snapdeal61
22.7%
Amazon.in60
22.3%
Amazon.in, Flipkart.com39
14.5%
Amazon.in, Snapdeal26
9.7%
Myntra.com20
 
7.4%
Amazon.in, Myntra.com15
 
5.6%
Amazon.in, Flipkart.com, Myntra.com15
 
5.6%
Amazon.in, Flipkart.com, Paytm.com13
 
4.8%
Paytm.com12
 
4.5%
Flipkart.com8
 
3.0%
2021-05-01T14:30:56.027283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:56.207173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in229
38.9%
flipkart.com136
23.1%
myntra.com111
18.9%
snapdeal87
 
14.8%
paytm.com25
 
4.3%

Most occurring characters

ValueCountFrequency (%)
a675
 
10.6%
n656
 
10.3%
m526
 
8.3%
.501
 
7.9%
o501
 
7.9%
i365
 
5.7%
,319
 
5.0%
319
 
5.0%
t272
 
4.3%
c272
 
4.3%
Other values (13)1956
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4635
72.9%
Other Punctuation820
 
12.9%
Uppercase Letter588
 
9.2%
Space Separator319
 
5.0%

Most frequent character per category

ValueCountFrequency (%)
a675
14.6%
n656
14.2%
m526
11.3%
o501
10.8%
i365
7.9%
t272
5.9%
c272
5.9%
r247
 
5.3%
z229
 
4.9%
l223
 
4.8%
Other values (5)669
14.4%
ValueCountFrequency (%)
A229
38.9%
F136
23.1%
M111
18.9%
S87
 
14.8%
P25
 
4.3%
ValueCountFrequency (%)
.501
61.1%
,319
38.9%
ValueCountFrequency (%)
319
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5223
82.1%
Common1139
 
17.9%

Most frequent character per script

ValueCountFrequency (%)
a675
12.9%
n656
12.6%
m526
10.1%
o501
9.6%
i365
 
7.0%
t272
 
5.2%
c272
 
5.2%
r247
 
4.7%
A229
 
4.4%
z229
 
4.4%
Other values (10)1251
24.0%
ValueCountFrequency (%)
.501
44.0%
,319
28.0%
319
28.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII6362
100.0%

Most frequent character per block

ValueCountFrequency (%)
a675
 
10.6%
n656
 
10.3%
m526
 
8.3%
.501
 
7.9%
o501
 
7.9%
i365
 
5.7%
,319
 
5.0%
319
 
5.0%
t272
 
4.3%
c272
 
4.3%
Other values (13)1956
30.7%
Distinct10
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
Amazon.in
57 
Paytm.com
38 
Amazon.in, Flipkart.com
38 
Myntra.com
35 
Amazon.in, Flipkart.com, Snapdeal.com
29 
Other values (5)
72 

Length

Max length37
Median length12
Mean length17.07806691
Min length9

Characters and Unicode

Total characters4594
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAmazon.in
2nd rowAmazon.in, Flipkart.com
3rd rowMyntra.com
4th rowSnapdeal.com
5th rowFlipkart.com, Paytm.com
ValueCountFrequency (%)
Amazon.in57
21.2%
Paytm.com38
14.1%
Amazon.in, Flipkart.com38
14.1%
Myntra.com35
13.0%
Amazon.in, Flipkart.com, Snapdeal.com29
10.8%
Snapdeal.com25
9.3%
Flipkart.com, Paytm.com15
 
5.6%
Flipkart.com, Paytm.com, Snapdeal.com13
 
4.8%
Amazon.in, Paytm.com11
 
4.1%
Flipkart.com8
 
3.0%
2021-05-01T14:30:56.789937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:56.929925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in135
32.4%
flipkart.com103
24.7%
paytm.com77
18.5%
snapdeal.com67
16.1%
myntra.com35
 
8.4%

Most occurring characters

ValueCountFrequency (%)
m494
 
10.8%
a484
 
10.5%
o417
 
9.1%
.417
 
9.1%
n372
 
8.1%
c282
 
6.1%
i238
 
5.2%
t215
 
4.7%
l170
 
3.7%
p170
 
3.7%
Other values (13)1335
29.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3464
75.4%
Other Punctuation565
 
12.3%
Uppercase Letter417
 
9.1%
Space Separator148
 
3.2%

Most frequent character per category

ValueCountFrequency (%)
m494
14.3%
a484
14.0%
o417
12.0%
n372
10.7%
c282
8.1%
i238
6.9%
t215
6.2%
l170
 
4.9%
p170
 
4.9%
r138
 
4.0%
Other values (5)484
14.0%
ValueCountFrequency (%)
A135
32.4%
F103
24.7%
P77
18.5%
S67
16.1%
M35
 
8.4%
ValueCountFrequency (%)
.417
73.8%
,148
 
26.2%
ValueCountFrequency (%)
148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3881
84.5%
Common713
 
15.5%

Most frequent character per script

ValueCountFrequency (%)
m494
12.7%
a484
12.5%
o417
10.7%
n372
9.6%
c282
 
7.3%
i238
 
6.1%
t215
 
5.5%
l170
 
4.4%
p170
 
4.4%
r138
 
3.6%
Other values (10)901
23.2%
ValueCountFrequency (%)
.417
58.5%
,148
 
20.8%
148
 
20.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII4594
100.0%

Most frequent character per block

ValueCountFrequency (%)
m494
 
10.8%
a484
 
10.5%
o417
 
9.1%
.417
 
9.1%
n372
 
8.1%
c282
 
6.1%
i238
 
5.2%
t215
 
4.7%
l170
 
3.7%
p170
 
3.7%
Other values (13)1335
29.1%
Distinct10
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
Amazon.in, Flipkart.com
60 
Amazon.in
39 
Myntra.com
35 
Snapdeal.com
34 
Myntra.com, Snapdeal.com
25 
Other values (5)
76 

Length

Max length35
Median length12
Mean length17.27881041
Min length9

Characters and Unicode

Total characters4648
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAmazon.in
2nd rowMyntra.com
3rd rowMyntra.com
4th rowMyntra.com, Snapdeal.com
5th rowPaytm.com
ValueCountFrequency (%)
Amazon.in, Flipkart.com60
22.3%
Amazon.in39
14.5%
Myntra.com35
13.0%
Snapdeal.com34
12.6%
Myntra.com, Snapdeal.com25
9.3%
Flipkart.com, Snapdeal.com19
 
7.1%
Paytm.com15
 
5.6%
Flipkart.com15
 
5.6%
Amazon.in, Myntra.com, Snapdeal.com14
 
5.2%
Amazon.in, Paytm.com13
 
4.8%
2021-05-01T14:30:57.463906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:57.610022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in126
30.4%
flipkart.com94
22.7%
snapdeal.com92
22.2%
myntra.com74
17.9%
paytm.com28
 
6.8%

Most occurring characters

ValueCountFrequency (%)
a506
 
10.9%
m442
 
9.5%
n418
 
9.0%
o414
 
8.9%
.414
 
8.9%
c288
 
6.2%
i220
 
4.7%
t196
 
4.2%
p186
 
4.0%
l186
 
4.0%
Other values (13)1378
29.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3530
75.9%
Other Punctuation559
 
12.0%
Uppercase Letter414
 
8.9%
Space Separator145
 
3.1%

Most frequent character per category

ValueCountFrequency (%)
a506
14.3%
m442
12.5%
n418
11.8%
o414
11.7%
c288
8.2%
i220
6.2%
t196
 
5.6%
p186
 
5.3%
l186
 
5.3%
r168
 
4.8%
Other values (5)506
14.3%
ValueCountFrequency (%)
A126
30.4%
F94
22.7%
S92
22.2%
M74
17.9%
P28
 
6.8%
ValueCountFrequency (%)
.414
74.1%
,145
 
25.9%
ValueCountFrequency (%)
145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3944
84.9%
Common704
 
15.1%

Most frequent character per script

ValueCountFrequency (%)
a506
12.8%
m442
11.2%
n418
10.6%
o414
10.5%
c288
 
7.3%
i220
 
5.6%
t196
 
5.0%
p186
 
4.7%
l186
 
4.7%
r168
 
4.3%
Other values (10)920
23.3%
ValueCountFrequency (%)
.414
58.8%
,145
 
20.6%
145
 
20.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII4648
100.0%

Most frequent character per block

ValueCountFrequency (%)
a506
 
10.9%
m442
 
9.5%
n418
 
9.0%
o414
 
8.9%
.414
 
8.9%
c288
 
6.2%
i220
 
4.7%
t196
 
4.2%
p186
 
4.0%
l186
 
4.0%
Other values (13)1378
29.6%
Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
Myntra.com
75 
Paytm.com
52 
snapdeal.com
41 
Amazon.in
38 
Flipkart.com
38 
Other values (3)
25 

Length

Max length23
Median length10
Mean length11.31598513
Min length9

Characters and Unicode

Total characters3044
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFlipkart.com
2nd rowsnapdeal.com
3rd rowMyntra.com
4th rowMyntra.com
5th rowPaytm.com
ValueCountFrequency (%)
Myntra.com75
27.9%
Paytm.com52
19.3%
snapdeal.com41
15.2%
Amazon.in38
14.1%
Flipkart.com38
14.1%
Amazon.in, Paytm.com13
 
4.8%
Paytm.com, snapdeal.com7
 
2.6%
Amazon.in, Flipkart.com5
 
1.9%
2021-05-01T14:30:58.158481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:58.299099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
myntra.com75
25.5%
paytm.com72
24.5%
amazon.in56
19.0%
snapdeal.com48
16.3%
flipkart.com43
14.6%

Most occurring characters

ValueCountFrequency (%)
m366
12.0%
a342
11.2%
.294
9.7%
o294
9.7%
c238
 
7.8%
n235
 
7.7%
t190
 
6.2%
y147
 
4.8%
r118
 
3.9%
i99
 
3.3%
Other values (13)721
23.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2454
80.6%
Other Punctuation319
 
10.5%
Uppercase Letter246
 
8.1%
Space Separator25
 
0.8%

Most frequent character per category

ValueCountFrequency (%)
m366
14.9%
a342
13.9%
o294
12.0%
c238
9.7%
n235
9.6%
t190
7.7%
y147
6.0%
r118
 
4.8%
i99
 
4.0%
l91
 
3.7%
Other values (6)334
13.6%
ValueCountFrequency (%)
M75
30.5%
P72
29.3%
A56
22.8%
F43
17.5%
ValueCountFrequency (%)
.294
92.2%
,25
 
7.8%
ValueCountFrequency (%)
25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2700
88.7%
Common344
 
11.3%

Most frequent character per script

ValueCountFrequency (%)
m366
13.6%
a342
12.7%
o294
10.9%
c238
8.8%
n235
8.7%
t190
 
7.0%
y147
 
5.4%
r118
 
4.4%
i99
 
3.7%
l91
 
3.4%
Other values (10)580
21.5%
ValueCountFrequency (%)
.294
85.5%
,25
 
7.3%
25
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII3044
100.0%

Most frequent character per block

ValueCountFrequency (%)
m366
12.0%
a342
11.2%
.294
9.7%
o294
9.7%
c238
 
7.8%
n235
 
7.7%
t190
 
6.2%
y147
 
4.8%
r118
 
3.9%
i99
 
3.3%
Other values (13)721
23.7%
Distinct11
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size20.8 KiB
Myntra.com
61 
Paytm.com
59 
Flipkart.com
32 
Snapdeal.com
23 
Amazon.in, Flipkart.com
18 
Other values (6)
76 

Length

Max length32
Median length10
Mean length14.11152416
Min length9

Characters and Unicode

Total characters3796
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFlipkart.com
2nd rowSnapdeal.com
3rd rowMyntra.com
4th rowPaytm.com
5th rowPaytm.com
ValueCountFrequency (%)
Myntra.com61
22.7%
Paytm.com59
21.9%
Flipkart.com32
11.9%
Snapdeal.com23
 
8.6%
Amazon.in, Flipkart.com18
 
6.7%
Amazon.in16
 
5.9%
Paytm.com, Snapdeal.com15
 
5.6%
Amazon.in, Snapdeal.com14
 
5.2%
Amazon.in, Paytm.com13
 
4.8%
Flipkart.com, Snapdeal.com11
 
4.1%
2021-05-01T14:30:58.785998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
paytm.com94
26.6%
myntra.com68
19.2%
amazon.in68
19.2%
snapdeal.com63
17.8%
flipkart.com61
17.2%

Most occurring characters

ValueCountFrequency (%)
m448
11.8%
a417
11.0%
.354
 
9.3%
o354
 
9.3%
c286
 
7.5%
n267
 
7.0%
t223
 
5.9%
y162
 
4.3%
i129
 
3.4%
r129
 
3.4%
Other values (13)1027
27.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2918
76.9%
Other Punctuation439
 
11.6%
Uppercase Letter354
 
9.3%
Space Separator85
 
2.2%

Most frequent character per category

ValueCountFrequency (%)
m448
15.4%
a417
14.3%
o354
12.1%
c286
9.8%
n267
9.2%
t223
7.6%
y162
 
5.6%
i129
 
4.4%
r129
 
4.4%
l124
 
4.2%
Other values (5)379
13.0%
ValueCountFrequency (%)
P94
26.6%
M68
19.2%
A68
19.2%
S63
17.8%
F61
17.2%
ValueCountFrequency (%)
.354
80.6%
,85
 
19.4%
ValueCountFrequency (%)
85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3272
86.2%
Common524
 
13.8%

Most frequent character per script

ValueCountFrequency (%)
m448
13.7%
a417
12.7%
o354
10.8%
c286
 
8.7%
n267
 
8.2%
t223
 
6.8%
y162
 
5.0%
i129
 
3.9%
r129
 
3.9%
l124
 
3.8%
Other values (10)733
22.4%
ValueCountFrequency (%)
.354
67.6%
,85
 
16.2%
85
 
16.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII3796
100.0%

Most frequent character per block

ValueCountFrequency (%)
m448
11.8%
a417
11.0%
.354
 
9.3%
o354
 
9.3%
c286
 
7.5%
n267
 
7.0%
t223
 
5.9%
y162
 
4.3%
i129
 
3.4%
r129
 
3.4%
Other values (13)1027
27.1%
Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
Snapdeal.com
87 
Amazon.in
62 
Flipkart.com
31 
Amazon.in, Flipkart.com
29 
Paytm.com
25 
Other values (3)
35 

Length

Max length24
Median length12
Mean length13.52788104
Min length9

Characters and Unicode

Total characters3639
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAmazon.in
2nd rowSnapdeal.com
3rd rowAmazon.in
4th rowPaytm.com
5th rowSnapdeal.com
ValueCountFrequency (%)
Snapdeal.com87
32.3%
Amazon.in62
23.0%
Flipkart.com31
 
11.5%
Amazon.in, Flipkart.com29
 
10.8%
Paytm.com25
 
9.3%
Paytm.com, Snapdeal.com15
 
5.6%
Amazon.in, Paytm.com13
 
4.8%
Myntra.com, Snapdeal.com7
 
2.6%
2021-05-01T14:30:59.224947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:30:59.365566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
snapdeal.com109
32.7%
amazon.in104
31.2%
flipkart.com60
18.0%
paytm.com53
15.9%
myntra.com7
 
2.1%

Most occurring characters

ValueCountFrequency (%)
a442
12.1%
m386
 
10.6%
o333
 
9.2%
.333
 
9.2%
n324
 
8.9%
c229
 
6.3%
p169
 
4.6%
l169
 
4.6%
i164
 
4.5%
t120
 
3.3%
Other values (13)970
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2845
78.2%
Other Punctuation397
 
10.9%
Uppercase Letter333
 
9.2%
Space Separator64
 
1.8%

Most frequent character per category

ValueCountFrequency (%)
a442
15.5%
m386
13.6%
o333
11.7%
n324
11.4%
c229
8.0%
p169
 
5.9%
l169
 
5.9%
i164
 
5.8%
t120
 
4.2%
d109
 
3.8%
Other values (5)400
14.1%
ValueCountFrequency (%)
S109
32.7%
A104
31.2%
F60
18.0%
P53
15.9%
M7
 
2.1%
ValueCountFrequency (%)
.333
83.9%
,64
 
16.1%
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3178
87.3%
Common461
 
12.7%

Most frequent character per script

ValueCountFrequency (%)
a442
13.9%
m386
12.1%
o333
10.5%
n324
10.2%
c229
 
7.2%
p169
 
5.3%
l169
 
5.3%
i164
 
5.2%
t120
 
3.8%
S109
 
3.4%
Other values (10)733
23.1%
ValueCountFrequency (%)
.333
72.2%
,64
 
13.9%
64
 
13.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII3639
100.0%

Most frequent character per block

ValueCountFrequency (%)
a442
12.1%
m386
 
10.6%
o333
 
9.2%
.333
 
9.2%
n324
 
8.9%
c229
 
6.3%
p169
 
4.6%
l169
 
4.6%
i164
 
4.5%
t120
 
3.3%
Other values (13)970
26.7%
Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size20.1 KiB
Paytm.com
72 
Snapdeal.com
64 
Flipkart.com
44 
Amazon.in
37 
Myntra.com
26 

Length

Max length23
Median length10
Mean length11.65427509
Min length9

Characters and Unicode

Total characters3135
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPaytm.com
2nd rowSnapdeal.com
3rd rowPaytm.com
4th rowPaytm.com
5th rowPaytm.com
ValueCountFrequency (%)
Paytm.com72
26.8%
Snapdeal.com64
23.8%
Flipkart.com44
16.4%
Amazon.in37
13.8%
Myntra.com26
 
9.7%
Paytm.com, Snapdeal.com26
 
9.7%
2021-05-01T14:30:59.893907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:31:00.034532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
paytm.com98
33.2%
snapdeal.com90
30.5%
flipkart.com44
14.9%
amazon.in37
 
12.5%
myntra.com26
 
8.8%

Most occurring characters

ValueCountFrequency (%)
m393
12.5%
a385
12.3%
.295
 
9.4%
o295
 
9.4%
c258
 
8.2%
n190
 
6.1%
t168
 
5.4%
p134
 
4.3%
l134
 
4.3%
y124
 
4.0%
Other values (13)759
24.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2493
79.5%
Other Punctuation321
 
10.2%
Uppercase Letter295
 
9.4%
Space Separator26
 
0.8%

Most frequent character per category

ValueCountFrequency (%)
m393
15.8%
a385
15.4%
o295
11.8%
c258
10.3%
n190
7.6%
t168
6.7%
p134
 
5.4%
l134
 
5.4%
y124
 
5.0%
d90
 
3.6%
Other values (5)322
12.9%
ValueCountFrequency (%)
P98
33.2%
S90
30.5%
F44
14.9%
A37
 
12.5%
M26
 
8.8%
ValueCountFrequency (%)
.295
91.9%
,26
 
8.1%
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2788
88.9%
Common347
 
11.1%

Most frequent character per script

ValueCountFrequency (%)
m393
14.1%
a385
13.8%
o295
10.6%
c258
9.3%
n190
 
6.8%
t168
 
6.0%
p134
 
4.8%
l134
 
4.8%
y124
 
4.4%
P98
 
3.5%
Other values (10)609
21.8%
ValueCountFrequency (%)
.295
85.0%
,26
 
7.5%
26
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII3135
100.0%

Most frequent character per block

ValueCountFrequency (%)
m393
12.5%
a385
12.3%
.295
 
9.4%
o295
 
9.4%
c258
 
8.2%
n190
 
6.1%
t168
 
5.4%
p134
 
4.3%
l134
 
4.3%
y124
 
4.0%
Other values (13)759
24.2%
Distinct7
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Amazon.in
96 
Paytm.com
63 
Amazon.in, Flipkart.com
45 
Myntra.com
30 
Flipkart.com
20 
Other values (2)
15 

Length

Max length24
Median length9
Mean length12.15613383
Min length9

Characters and Unicode

Total characters3270
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFlipkart.com
2nd rowAmazon.in
3rd rowPaytm.com
4th rowAmazon.in, Flipkart.com
5th rowAmazon.in
ValueCountFrequency (%)
Amazon.in96
35.7%
Paytm.com63
23.4%
Amazon.in, Flipkart.com45
16.7%
Myntra.com30
 
11.2%
Flipkart.com20
 
7.4%
Snapdeal.com8
 
3.0%
Flipkart.com, Myntra.com7
 
2.6%
2021-05-01T14:31:00.461399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:31:00.617643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in141
43.9%
flipkart.com72
22.4%
paytm.com63
19.6%
myntra.com37
 
11.5%
snapdeal.com8
 
2.5%

Most occurring characters

ValueCountFrequency (%)
m384
11.7%
a329
10.1%
n327
10.0%
.321
9.8%
o321
9.8%
i213
 
6.5%
c180
 
5.5%
t172
 
5.3%
A141
 
4.3%
z141
 
4.3%
Other values (13)741
22.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2524
77.2%
Other Punctuation373
 
11.4%
Uppercase Letter321
 
9.8%
Space Separator52
 
1.6%

Most frequent character per category

ValueCountFrequency (%)
m384
15.2%
a329
13.0%
n327
13.0%
o321
12.7%
i213
8.4%
c180
7.1%
t172
6.8%
z141
 
5.6%
r109
 
4.3%
y100
 
4.0%
Other values (5)248
9.8%
ValueCountFrequency (%)
A141
43.9%
F72
22.4%
P63
19.6%
M37
 
11.5%
S8
 
2.5%
ValueCountFrequency (%)
.321
86.1%
,52
 
13.9%
ValueCountFrequency (%)
52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2845
87.0%
Common425
 
13.0%

Most frequent character per script

ValueCountFrequency (%)
m384
13.5%
a329
11.6%
n327
11.5%
o321
11.3%
i213
7.5%
c180
 
6.3%
t172
 
6.0%
A141
 
5.0%
z141
 
5.0%
r109
 
3.8%
Other values (10)528
18.6%
ValueCountFrequency (%)
.321
75.5%
,52
 
12.2%
52
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII3270
100.0%

Most frequent character per block

ValueCountFrequency (%)
m384
11.7%
a329
10.1%
n327
10.0%
.321
9.8%
o321
9.8%
i213
 
6.5%
c180
 
5.5%
t172
 
5.3%
A141
 
4.3%
z141
 
4.3%
Other values (13)741
22.7%
Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size20.4 KiB
Amazon.in
53 
Myntra.com
52 
Snapdeal.com
49 
Paytm.com
39 
Flipkart.com
26 
Other values (3)
50 

Length

Max length26
Median length10
Mean length12.80669145
Min length9

Characters and Unicode

Total characters3445
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAmazon.in
2nd rowMyntra.com
3rd rowPaytm.com
4th rowAmazon.in, Flipkart.com
5th rowSnapdeal.com
ValueCountFrequency (%)
Amazon.in53
19.7%
Myntra.com52
19.3%
Snapdeal.com49
18.2%
Paytm.com39
14.5%
Flipkart.com26
9.7%
Amazon.in, Flipkart.com25
9.3%
Myntra.com, Snapdeal.com14
 
5.2%
Flipkart.com, Snapdeal.com11
 
4.1%
2021-05-01T14:31:01.056607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:31:01.197229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in78
24.5%
snapdeal.com74
23.2%
myntra.com66
20.7%
flipkart.com62
19.4%
paytm.com39
12.2%

Most occurring characters

ValueCountFrequency (%)
a393
11.4%
m358
 
10.4%
o319
 
9.3%
.319
 
9.3%
n296
 
8.6%
c241
 
7.0%
t167
 
4.8%
i140
 
4.1%
l136
 
3.9%
p136
 
3.9%
Other values (13)940
27.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2707
78.6%
Other Punctuation369
 
10.7%
Uppercase Letter319
 
9.3%
Space Separator50
 
1.5%

Most frequent character per category

ValueCountFrequency (%)
a393
14.5%
m358
13.2%
o319
11.8%
n296
10.9%
c241
8.9%
t167
6.2%
i140
 
5.2%
l136
 
5.0%
p136
 
5.0%
r128
 
4.7%
Other values (5)393
14.5%
ValueCountFrequency (%)
A78
24.5%
S74
23.2%
M66
20.7%
F62
19.4%
P39
12.2%
ValueCountFrequency (%)
.319
86.4%
,50
 
13.6%
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3026
87.8%
Common419
 
12.2%

Most frequent character per script

ValueCountFrequency (%)
a393
13.0%
m358
11.8%
o319
10.5%
n296
9.8%
c241
 
8.0%
t167
 
5.5%
i140
 
4.6%
l136
 
4.5%
p136
 
4.5%
r128
 
4.2%
Other values (10)712
23.5%
ValueCountFrequency (%)
.319
76.1%
,50
 
11.9%
50
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII3445
100.0%

Most frequent character per block

ValueCountFrequency (%)
a393
11.4%
m358
 
10.4%
o319
 
9.3%
.319
 
9.3%
n296
 
8.6%
c241
 
7.0%
t167
 
4.8%
i140
 
4.1%
l136
 
3.9%
p136
 
3.9%
Other values (13)940
27.3%
Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
Amazon.in
94 
Flipkart.com
47 
Amazon.in, Flipkart.com
45 
Amazon.in, Flipkart.com, Paytm.com
25 
Amazon.in, Paytm.com
18 
Other values (3)
40 

Length

Max length34
Median length12
Mean length15.82899628
Min length9

Characters and Unicode

Total characters4258
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAmazon.in
2nd rowAmazon.in, Flipkart.com
3rd rowAmazon.in
4th rowAmazon.in, Flipkart.com, Paytm.com
5th rowPaytm.com
ValueCountFrequency (%)
Amazon.in94
34.9%
Flipkart.com47
17.5%
Amazon.in, Flipkart.com45
16.7%
Amazon.in, Flipkart.com, Paytm.com25
 
9.3%
Amazon.in, Paytm.com18
 
6.7%
Paytm.com15
 
5.6%
Myntra.com, Snapdeal.com14
 
5.2%
Snapdeal.com11
 
4.1%
2021-05-01T14:31:01.652811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:31:01.799491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in182
46.0%
flipkart.com117
29.5%
paytm.com58
 
14.6%
snapdeal.com25
 
6.3%
myntra.com14
 
3.5%

Most occurring characters

ValueCountFrequency (%)
m454
10.7%
a421
 
9.9%
n403
 
9.5%
o396
 
9.3%
.396
 
9.3%
i299
 
7.0%
c214
 
5.0%
t189
 
4.4%
A182
 
4.3%
z182
 
4.3%
Other values (13)1122
26.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3212
75.4%
Other Punctuation523
 
12.3%
Uppercase Letter396
 
9.3%
Space Separator127
 
3.0%

Most frequent character per category

ValueCountFrequency (%)
m454
14.1%
a421
13.1%
n403
12.5%
o396
12.3%
i299
9.3%
c214
6.7%
t189
5.9%
z182
5.7%
l142
 
4.4%
p142
 
4.4%
Other values (5)370
11.5%
ValueCountFrequency (%)
A182
46.0%
F117
29.5%
P58
 
14.6%
S25
 
6.3%
M14
 
3.5%
ValueCountFrequency (%)
.396
75.7%
,127
 
24.3%
ValueCountFrequency (%)
127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3608
84.7%
Common650
 
15.3%

Most frequent character per script

ValueCountFrequency (%)
m454
12.6%
a421
11.7%
n403
11.2%
o396
11.0%
i299
8.3%
c214
 
5.9%
t189
 
5.2%
A182
 
5.0%
z182
 
5.0%
l142
 
3.9%
Other values (10)726
20.1%
ValueCountFrequency (%)
.396
60.9%
,127
 
19.5%
127
 
19.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII4258
100.0%

Most frequent character per block

ValueCountFrequency (%)
m454
10.7%
a421
 
9.9%
n403
 
9.5%
o396
 
9.3%
.396
 
9.3%
i299
 
7.0%
c214
 
5.0%
t189
 
4.4%
A182
 
4.3%
z182
 
4.3%
Other values (13)1122
26.4%
Distinct8
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size22.2 KiB
Amazon.in
79 
Amazon.in, Flipkart.com
62 
Flipkart.com
39 
Amazon.in, Myntra.com
30 
Amazon.in, Paytm.com, Myntra.com
20 
Other values (3)
39 

Length

Max length49
Median length21
Mean length19.32713755
Min length9

Characters and Unicode

Total characters5199
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFlipkart.com
2nd rowAmazon.in, Myntra.com
3rd rowAmazon.in, Paytm.com, Myntra.com
4th rowAmazon.in, Flipkart.com
5th rowAmazon.in, Myntra.com
ValueCountFrequency (%)
Amazon.in79
29.4%
Amazon.in, Flipkart.com62
23.0%
Flipkart.com39
14.5%
Amazon.in, Myntra.com30
 
11.2%
Amazon.in, Paytm.com, Myntra.com20
 
7.4%
Amazon.in, Flipkart.com, Myntra.com15
 
5.6%
Amazon.in, Paytm.com13
 
4.8%
Flipkart.com, Paytm.com, Myntra.com, snapdeal.com11
 
4.1%
2021-05-01T14:31:02.301234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-05-01T14:31:02.484121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
amazon.in219
45.9%
flipkart.com127
26.6%
myntra.com76
 
15.9%
paytm.com44
 
9.2%
snapdeal.com11
 
2.3%

Most occurring characters

ValueCountFrequency (%)
n525
 
10.1%
m521
 
10.0%
a488
 
9.4%
.477
 
9.2%
o477
 
9.2%
i346
 
6.7%
c258
 
5.0%
t247
 
4.8%
A219
 
4.2%
z219
 
4.2%
Other values (13)1422
27.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3840
73.9%
Other Punctuation685
 
13.2%
Uppercase Letter466
 
9.0%
Space Separator208
 
4.0%

Most frequent character per category

ValueCountFrequency (%)
n525
13.7%
m521
13.6%
a488
12.7%
o477
12.4%
i346
9.0%
c258
6.7%
t247
6.4%
z219
5.7%
r203
 
5.3%
l138
 
3.6%
Other values (6)418
10.9%
ValueCountFrequency (%)
A219
47.0%
F127
27.3%
M76
 
16.3%
P44
 
9.4%
ValueCountFrequency (%)
.477
69.6%
,208
30.4%
ValueCountFrequency (%)
208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4306
82.8%
Common893
 
17.2%

Most frequent character per script

ValueCountFrequency (%)
n525
12.2%
m521
12.1%
a488
11.3%
o477
11.1%
i346
8.0%
c258
 
6.0%
t247
 
5.7%
A219
 
5.1%
z219
 
5.1%
r203
 
4.7%
Other values (10)803
18.6%
ValueCountFrequency (%)
.477
53.4%
,208
23.3%
208
23.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII5199
100.0%

Most frequent character per block

ValueCountFrequency (%)
n525
 
10.1%
m521
 
10.0%
a488
 
9.4%
.477
 
9.2%
o477
 
9.2%
i346
 
6.7%
c258
 
5.0%
t247
 
4.8%
A219
 
4.2%
z219
 
4.2%
Other values (13)1422
27.4%

Interactions

Correlations

2021-05-01T14:31:02.757999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-05-01T14:31:02.967294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-05-01T14:31:03.186994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-05-01T14:31:03.637246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-05-01T14:31:08.993077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-05-01T14:30:02.116301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
A simple visualization of nullity by column.
2021-05-01T14:30:14.593888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

GenderAgeCityPincodeCustomer shopping online (in Years)Purchase in last yearSourceDeviceScreen SizeOperating SystemBrowserReferenceSource after first visitTime to make purchasePreferred Payment MethodKeep items in cartReason for keeping items in cartEase of ContentProduct RecommendationDescription of recommended product must be accurateDescription of highlighted product must be accurateEase of NavigationLoading SpeedUser FriendlyConvinient Payment methodsTrust for Delivery TimeUser SupportPrivacy of customersAvailability of communication channlesDiscountsCustomer EnjoymentCustomer ConvinienceReturn policyLoyalty ProgramsSatisfaction due to quality descriptionCustomer satisfactionNet BenefitUser satisfaction cannot exist without trustOffering a wide variety of listed product in several categoryProvision of complete and relevant product informationMonetary savingsThe Convenience of patronizing the online retailerShopping on the website gives you the sense of adventureShopping on your preferred e-tailer enhances your social statusYou feel gratification shopping on your favorite e-tailerShopping on the website helps you fulfill certain rolesGetting value for money spentOnline Retailers shopped fromEasy to use WebsiteVisual appealing WebsiteWebsite with Variety of productsWebsite with Relavent DescriptionFast loading WebsiteReliability of the WebsiteQuickness to complete purchaseAvailability of several payment optionsSpeedy order deliveryPrivacy of customers’ informationSecurity of customer financial informationPerceived TrustworthinessPresence of online assistance through multi-channelLonger time to get logged in (promotion, sales period)Longer time in displaying graphics and photos (promotion, sales period)Late declaration of price (promotion, sales period)Longer page loading time (promotion, sales period)Limited mode of payment on most products (promotion, sales period)Longer delivery periodChange in website/Application designFrequent disruption when moving from one page to anotherWebsite is as efficient as beforeWhich of the Indian online retailer would you recommend to a friend?
0Male31-40 yearsDelhi110009Above 4 years31-40 timesDial-upDesktopOthersWindow/windows MobileGoogle chromeSearch EngineSearch Engine6-10 minsE-wallets (Paytm, Freecharge etc.)SometimesLack of trustAgree (4)Indifferent (3)Indifferent (3)Agree (4)Agree (4)Strongly disagree (1)Dis-agree (2)Dis-agree (2)Disagree (2)Strongly agree (5)Agree (4)Agree (4)indifferent (3)Strongly disagree (1)Dis-agree (2)Dis-agree (2)Agree (4)indifferent (3)Strongly agree (5)Agree (4)Strongly agree (5)indifferent (3)indifferent (3)Disagree (2)indifferent (3)Agree (4)Agree (4)Strongly agree (5)Agree (4)Strongly agree (5)Amazon.in, Paytm.comPaytm.comFlipkart.comFlipkart.comSnapdeal.comSnapdeal.comPaytm.comPaytm.comPatym.comAmazon.inAmazon.inAmazon.inFlipkart.comPaytm.comAmazon.inAmazon.inFlipkart.comFlipkart.comAmazon.inPaytm.comFlipkart.comAmazon.inAmazon.inFlipkart.com
1Female21-30 yearsDelhi110030Above 4 years41 times and aboveWi-FiSmartphone4.7 inchesIOS/MacGoogle chromeSearch EngineVia applicationmore than 15 minsCredit/Debit cardsVery frequentlyPromo code not applicableStrongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)indifferent (3)indifferent (3)indifferent (3)Strongly agree (5)Strongly agree (5)Strongly agree (5)Amazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Myntra.comFlipkart.com, Myntra.comAmazon.in, Flipkart.com, Myntra.comAmazon.in, Flipkart.com, Myntra.comMyntra.comAmazon.com, Flipkart.com, Myntra.comAmazon.in, Flipkart.com, Myntra.comAmazon.in, Flipkart.comMyntra.comMyntra.comMyntra.comAmazon.in, Flipkart.com, Myntra.comAmazon.in, Flipkart.comMyntra.comsnapdeal.comSnapdeal.comSnapdeal.comSnapdeal.comAmazon.inMyntra.comAmazon.in, Flipkart.comAmazon.in, Myntra.com
2Female21-30 yearsGreater Noida2013083-4 years41 times and aboveMobile InternetSmartphone5.5 inchesAndroidGoogle chromeSearch EngineVia application11-15 minsE-wallets (Paytm, Freecharge etc.)SometimesPromo code not applicableStrongly agree (5)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Agree (4)indifferent (3)indifferent (3)Agree (4)Amazon.in, Paytm.com, Myntra.comAmazon.in, Paytm.com, Myntra.comAmazon.in, Paytm.com, Myntra.comAmazon.in, Myntra.comAmazon.in, Paytm.com, Myntra.comAmazon.in, Paytm.comAmazon.in, Paytm.com, Myntra.comAmazon.com, Paytm.com, Myntra.comPatym.com, Myntra.comAmazon.inAmazon.inAmazon.in, Paytm.com, Myntra.comAmazon.in, Myntra.comMyntra.comMyntra.comMyntra.comMyntra.comMyntra.comAmazon.inPaytm.comPaytm.comPaytm.comAmazon.inAmazon.in, Paytm.com, Myntra.com
3Male21-30 yearsKarnal1320013-4 yearsLess than 10 timesMobile InternetSmartphone5.5 inchesIOS/MacSafariSearch EngineSearch Engine6-10 minsCredit/Debit cardsNeverBetter alternative offerAgree (4)Agree (4)Indifferent (3)Agree (4)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)indifferent (3)indifferent (3)Agree (4)indifferent (3)indifferent (3)Agree (4)indifferent (3)Agree (4)Agree (4)Agree (4)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Agree (4)indifferent (3)Agree (4)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.comAmazon.com, Flipkart.com, Paytm.comAmazon.in, Flipkart.com, Myntra.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, SnapdealSnapdeal.comMyntra.com, Snapdeal.comMyntra.comPaytm.comPaytm.comPaytm.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.comAmazon.in, Flipkart.com
4Female21-30 yearsBangalore5300682-3 years11-20 timesWi-FiSmartphone4.7 inchesIOS/MacSafariContent MarketingVia applicationmore than 15 minsCredit/Debit cardsFrequentlyBetter alternative offerStrongly agree (5)Indifferent (3)Indifferent (3)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Dis-agree (2)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Agree (4)indifferent (3)Strongly disagree (1)Strongly agree (5)Strongly disagree (1)Strongly agree (5)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comMyntra.comMyntra.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.inAmazon.in, Paytm.com, Myntra.comAmazon.com, Flipkart.com, Paytm.com, Myntra.com, SnapdealAmazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.comAmazon.inAmazon.in, Paytm.comPaytm.comAmazon.in, Myntra.comAmazon.in, Myntra.comFlipkart.com, Paytm.comPaytm.comPaytm.comPaytm.comSnapdeal.comPaytm.comAmazon.inSnapdeal.comPaytm.comAmazon.in, Myntra.com
5Female31-40 yearsNoida201308Above 4 years41 times and aboveWi-FiSmartphone5.5 inchesAndroidGoogle chromeSearch EngineVia applicationmore than 15 minsE-wallets (Paytm, Freecharge etc.)FrequentlyBetter alternative offerStrongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)indifferent (3)indifferent (3)Agree (4)Strongly agree (5)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.comAmazon.in, Flipkart.com, Paytm.comAmazon.in, Paytm.comAmazon.in, Flipkart.com, Paytm.com, Snapdeal.comPaytm.comAmazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.comAmazon.inAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.comFlipkart.com, Paytm.com, Snapdeal.comAmazon.in, Paytm.comAmazon.in, Paytm.comAmazon.in, Paytm.comAmazon.in, Paytm.comFlipkart.comPaytm.comFlipkart.comAmazon.inAmazon.in, Paytm.com
6Male41-50 yaersDelhi110011Above 4 years31-40 timesWi-FiTabletOthersAndroidGoogle chromeDisplay AdvertsDirect URLmore than 15 minsCredit/Debit cardsSometimesPromo code not applicableAgree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)indifferent (3)Agree (4)Agree (4)indifferent (3)indifferent (3)Agree (4)Agree (4)Agree (4)Amazon.in, Flipkart.com, Paytm.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.inFlipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.com, Flipkart.com, Paytm.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, SnapdealAmazon.in, Flipkart.com, Snapdeal.comAmazon.inMyntra.comMyntra.comFlipkart.comSnapdeal.comMyntra.comMyntra.comSnapdeal.comFlipkart.com, Paytm.com, Myntra.com, snapdeal.com
7Male41-50 yaersDelhi1100183-4 yearsLess than 10 timesMobile InternetDesktopOthersWindow/windows MobileGoogle chromeSearch EngineE-mail6-10 minsCredit/Debit cardsSometimesChange in priceStrongly disagree (1)Dis-agree (2)Dis-agree (2)Strongly disagree (1)Strongly disagree (1)Dis-agree (2)Strongly disagree (1)Dis-agree (2)Disagree (2)Strongly disagree (1)indifferent (3)Strongly agree (5)Strongly disagree (1)Strongly disagree (1)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly disagree (1)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly disagree (1)Strongly disagree (1)Strongly disagree (1)Agree (4)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.comAmazon.inAmazon.comAmazon.in, Flipkart.comAmazon.inPaytm.comFlipkart.comAmazon.inAmazon.inAmazon.in, Flipkart.comAmazon.in, Flipkart.comPaytm.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comFlipkart.comAmazon.inAmazon.inAmazon.inAmazon.in
8FemaleLess than 20 yearsSolan1732292-3 yearsLess than 10 timesWi-FiSmartphone5.5 inchesAndroidGoogle chromeSearch EngineDirect URL1-5 minsCash on delivery (CoD)SometimesNo preferred mode of paymentStrongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Agree (4)Agree (4)indifferent (3)indifferent (3)Agree (4)indifferent (3)Amazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comFlipkart.com, Myntra.com, SnapdealFlipkart.com, Myntra.com, Snapdeal.comFlipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, SnapdealAmazon.inAmazon.in, Myntra.com, Snapdeal.comAmazon.inAmazon.in, Snapdeal.comAmazon.inAmazon.inAmazon.inMyntra.com, Snapdeal.comMyntra.com, Snapdeal.comAmazon.in
9Female31-40 yearsDelhi110039Less than 1 yearLess than 10 timesWi-FiLaptopOthersWindow/windows MobileGoogle chromeSearch EngineSearch Enginemore than 15 minsCash on delivery (CoD)SometimesLack of trustAgree (4)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Agree (4)Strongly agree (5)Agree (4)Agree (4)Agree (4)Strongly agree (5)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)indifferent (3)indifferent (3)indifferent (3)Agree (4)Amazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.com, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comPaytm.comAmazon.in, Flipkart.comPaytm.comPaytm.comSnapdeal.comSnapdeal.comMyntra.comMyntra.comFlipkart.comFlipkart.com

Last rows

GenderAgeCityPincodeCustomer shopping online (in Years)Purchase in last yearSourceDeviceScreen SizeOperating SystemBrowserReferenceSource after first visitTime to make purchasePreferred Payment MethodKeep items in cartReason for keeping items in cartEase of ContentProduct RecommendationDescription of recommended product must be accurateDescription of highlighted product must be accurateEase of NavigationLoading SpeedUser FriendlyConvinient Payment methodsTrust for Delivery TimeUser SupportPrivacy of customersAvailability of communication channlesDiscountsCustomer EnjoymentCustomer ConvinienceReturn policyLoyalty ProgramsSatisfaction due to quality descriptionCustomer satisfactionNet BenefitUser satisfaction cannot exist without trustOffering a wide variety of listed product in several categoryProvision of complete and relevant product informationMonetary savingsThe Convenience of patronizing the online retailerShopping on the website gives you the sense of adventureShopping on your preferred e-tailer enhances your social statusYou feel gratification shopping on your favorite e-tailerShopping on the website helps you fulfill certain rolesGetting value for money spentOnline Retailers shopped fromEasy to use WebsiteVisual appealing WebsiteWebsite with Variety of productsWebsite with Relavent DescriptionFast loading WebsiteReliability of the WebsiteQuickness to complete purchaseAvailability of several payment optionsSpeedy order deliveryPrivacy of customers’ informationSecurity of customer financial informationPerceived TrustworthinessPresence of online assistance through multi-channelLonger time to get logged in (promotion, sales period)Longer time in displaying graphics and photos (promotion, sales period)Late declaration of price (promotion, sales period)Longer page loading time (promotion, sales period)Limited mode of payment on most products (promotion, sales period)Longer delivery periodChange in website/Application designFrequent disruption when moving from one page to anotherWebsite is as efficient as beforeWhich of the Indian online retailer would you recommend to a friend?
259Female31-40 yearsGreater Noida201310Above 4 years11-20 timesWi-FiLaptopOthersWindow/windows MobileGoogle chromeSearch EngineSearch Engine11-15 minsCredit/Debit cardsSometimesBetter alternative offerStrongly agree (5)Strongly agree (5)Strongly disagree (1)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly disagree (1)indifferent (3)indifferent (3)Strongly agree (5)Strongly agree (5)indifferent (3)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)indifferent (3)Dis-agree (2)Disagree (2)Agree (4)Strongly agree (5)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.com, Flipkart.comAmazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, SnapdealAmazon.in, Flipkart.com, Snapdeal.comSnapdeal.comsnapdeal.comMyntra.comSnapdeal.comSnapdeal.comPaytm.comSnapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com
260Female31-40 yearsNoida201308Above 4 years41 times and aboveWi-FiSmartphone5.5 inchesAndroidGoogle chromeSearch EngineVia applicationmore than 15 minsE-wallets (Paytm, Freecharge etc.)FrequentlyBetter alternative offerStrongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)indifferent (3)indifferent (3)Agree (4)Strongly agree (5)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.comAmazon.in, Flipkart.com, Paytm.comAmazon.in, Paytm.comAmazon.in, Flipkart.com, Paytm.com, Snapdeal.comPaytm.comAmazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.comAmazon.inAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.comFlipkart.com, Paytm.com, Snapdeal.comAmazon.in, Paytm.comAmazon.in, Paytm.comAmazon.in, Paytm.comAmazon.in, Paytm.comFlipkart.comPaytm.comFlipkart.comAmazon.inAmazon.in, Paytm.com
261Female21-30 yearsGreater Noida2013083-4 years41 times and aboveMobile InternetSmartphone5.5 inchesAndroidGoogle chromeSearch EngineVia application11-15 minsE-wallets (Paytm, Freecharge etc.)SometimesPromo code not applicableStrongly agree (5)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Agree (4)indifferent (3)indifferent (3)Agree (4)Amazon.in, Paytm.com, Myntra.comAmazon.in, Paytm.com, Myntra.comAmazon.in, Paytm.com, Myntra.comAmazon.in, Myntra.comAmazon.in, Paytm.com, Myntra.comAmazon.in, Paytm.comAmazon.in, Paytm.com, Myntra.comAmazon.com, Paytm.com, Myntra.comPatym.com, Myntra.comAmazon.inAmazon.inAmazon.in, Paytm.com, Myntra.comAmazon.in, Myntra.comMyntra.comMyntra.comMyntra.comMyntra.comMyntra.comAmazon.inPaytm.comPaytm.comPaytm.comAmazon.inAmazon.in, Paytm.com, Myntra.com
262Female21-30 yearsBangalore5600372-3 years11-20 timesWi-FiSmartphone4.7 inchesIOS/MacSafariContent MarketingVia applicationmore than 15 minsCredit/Debit cardsFrequentlyBetter alternative offerStrongly agree (5)Indifferent (3)Indifferent (3)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Dis-agree (2)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Agree (4)indifferent (3)Strongly disagree (1)Strongly agree (5)Strongly disagree (1)Strongly agree (5)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comMyntra.comMyntra.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.inAmazon.in, Paytm.com, Myntra.comAmazon.com, Flipkart.com, Paytm.com, Myntra.com, SnapdealAmazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.comAmazon.inAmazon.in, Paytm.comPaytm.comAmazon.in, Myntra.comAmazon.in, Myntra.comFlipkart.com, Paytm.comPaytm.comPaytm.comPaytm.comSnapdeal.comPaytm.comAmazon.inSnapdeal.comPaytm.comAmazon.in, Myntra.com
263Male41-50 yaersDelhi1100183-4 yearsLess than 10 timesMobile InternetDesktopOthersWindow/windows MobileGoogle chromeSearch EngineE-mail6-10 minsCredit/Debit cardsSometimesChange in priceStrongly disagree (1)Dis-agree (2)Dis-agree (2)Strongly disagree (1)Strongly disagree (1)Dis-agree (2)Strongly disagree (1)Dis-agree (2)Disagree (2)Strongly disagree (1)indifferent (3)Strongly agree (5)Strongly disagree (1)Strongly disagree (1)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly disagree (1)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly disagree (1)Strongly disagree (1)Strongly disagree (1)Agree (4)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.comAmazon.inAmazon.comAmazon.in, Flipkart.comAmazon.inPaytm.comFlipkart.comAmazon.inAmazon.inAmazon.in, Flipkart.comAmazon.in, Flipkart.comPaytm.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comFlipkart.comAmazon.inAmazon.inAmazon.inAmazon.in
264Female21-30 yearsSolan1732121-2 yearsLess than 10 timesMobile InternetSmartphone5.5 inchesAndroidOperaDisplay AdvertsSocial Mediamore than 15 minsCash on delivery (CoD)NeverBetter alternative offerAgree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)indifferent (3)indifferent (3)indifferent (3)Dis-agree (2)indifferent (3)indifferent (3)Dis-agree (2)indifferent (3)Agree (4)Agree (4)indifferent (3)Disagree (2)indifferent (3)Dis-agree (2)Agree (4)indifferent (3)Agree (4)indifferent (3)Amazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.comAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.in
265Female31-40 yearsGhaziabad2010081-2 years31-40 timesMobile InternetSmartphoneOthersAndroidGoogle chromeSearch EngineVia applicationLess than 1 minCash on delivery (CoD)SometimesChange in priceStrongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Amazon.in, Flipkart.comFlipkart.comAmazon.inAmazon.inFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.com
266Female41-50 yaersBangalore5600102-3 yearsLess than 10 timesMobile internetLaptopOthersWindow/windows MobileGoogle chromeSearch EngineSearch Enginemore than 15 minsCredit/Debit cardsSometimesBetter alternative offerStrongly agree (5)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Agree (4)indifferent (3)indifferent (3)Agree (4)Agree (4)indifferent (3)Agree (4)Strongly agree (5)indifferent (3)Agree (4)Agree (4)Agree (4)Agree (4)indifferent (3)Strongly agree (5)Agree (4)Agree (4)Dis-agree (2)indifferent (3)Agree (4)Agree (4)Agree (4)Amazon.in, Flipkart.com, Snapdeal.comAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.comAmazon.in, Flipkart.comAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inSnapdeal.comAmazon.inSnapdeal.comSnapdeal.comSnapdeal.comSnapdeal.comSnapdeal.comAmazon.inAmazon.in
267FemaleLess than 20 yearsSolan1732292-3 yearsLess than 10 timesWi-FiSmartphone5.5 inchesAndroidGoogle chromeSearch EngineDirect URL1-5 minsCash on delivery (CoD)SometimesNo preferred mode of paymentStrongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Agree (4)Agree (4)indifferent (3)indifferent (3)Agree (4)indifferent (3)Amazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comFlipkart.com, Myntra.com, SnapdealFlipkart.com, Myntra.com, Snapdeal.comFlipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, SnapdealAmazon.inAmazon.in, Myntra.com, Snapdeal.comAmazon.inAmazon.in, Snapdeal.comAmazon.inAmazon.inAmazon.inMyntra.com, Snapdeal.comMyntra.com, Snapdeal.comAmazon.in
268Female41-50 yaersGhaziabad2010092-3 years31-40 timesMobile InternetSmartphone5.5 inchesAndroidGoogle chromeSearch EngineVia application11-15 minsCash on delivery (CoD)NeverPromo code not applicableStrongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Amazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.comAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.in

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Most frequent

GenderAgeCityPincodeCustomer shopping online (in Years)Purchase in last yearSourceDeviceScreen SizeOperating SystemBrowserReferenceSource after first visitTime to make purchasePreferred Payment MethodKeep items in cartReason for keeping items in cartEase of ContentProduct RecommendationDescription of recommended product must be accurateDescription of highlighted product must be accurateEase of NavigationLoading SpeedUser FriendlyConvinient Payment methodsTrust for Delivery TimeUser SupportPrivacy of customersAvailability of communication channlesDiscountsCustomer EnjoymentCustomer ConvinienceReturn policyLoyalty ProgramsSatisfaction due to quality descriptionCustomer satisfactionNet BenefitUser satisfaction cannot exist without trustOffering a wide variety of listed product in several categoryProvision of complete and relevant product informationMonetary savingsThe Convenience of patronizing the online retailerShopping on the website gives you the sense of adventureShopping on your preferred e-tailer enhances your social statusYou feel gratification shopping on your favorite e-tailerShopping on the website helps you fulfill certain rolesGetting value for money spentOnline Retailers shopped fromEasy to use WebsiteVisual appealing WebsiteWebsite with Variety of productsWebsite with Relavent DescriptionFast loading WebsiteReliability of the WebsiteQuickness to complete purchaseAvailability of several payment optionsSpeedy order deliveryPrivacy of customers’ informationSecurity of customer financial informationPerceived TrustworthinessPresence of online assistance through multi-channelLonger time to get logged in (promotion, sales period)Longer time in displaying graphics and photos (promotion, sales period)Late declaration of price (promotion, sales period)Longer page loading time (promotion, sales period)Limited mode of payment on most products (promotion, sales period)Longer delivery periodChange in website/Application designFrequent disruption when moving from one page to anotherWebsite is as efficient as beforeWhich of the Indian online retailer would you recommend to a friend?count
39FemaleLess than 20 yearsSolan1732292-3 yearsLess than 10 timesWi-FiSmartphone5.5 inchesAndroidGoogle chromeSearch EngineDirect URL1-5 minsCash on delivery (CoD)SometimesNo preferred mode of paymentStrongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Agree (4)Agree (4)indifferent (3)indifferent (3)Agree (4)indifferent (3)Amazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comFlipkart.com, Myntra.com, SnapdealFlipkart.com, Myntra.com, Snapdeal.comFlipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, SnapdealAmazon.inAmazon.in, Myntra.com, Snapdeal.comAmazon.inAmazon.in, Snapdeal.comAmazon.inAmazon.inAmazon.inMyntra.com, Snapdeal.comMyntra.com, Snapdeal.comAmazon.in8
7Female21-30 yearsGreater Noida2013083-4 years41 times and aboveMobile InternetSmartphone5.5 inchesAndroidGoogle chromeSearch EngineVia application11-15 minsE-wallets (Paytm, Freecharge etc.)SometimesPromo code not applicableStrongly agree (5)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)Agree (4)indifferent (3)indifferent (3)Agree (4)Amazon.in, Paytm.com, Myntra.comAmazon.in, Paytm.com, Myntra.comAmazon.in, Paytm.com, Myntra.comAmazon.in, Myntra.comAmazon.in, Paytm.com, Myntra.comAmazon.in, Paytm.comAmazon.in, Paytm.com, Myntra.comAmazon.com, Paytm.com, Myntra.comPatym.com, Myntra.comAmazon.inAmazon.inAmazon.in, Paytm.com, Myntra.comAmazon.in, Myntra.comMyntra.comMyntra.comMyntra.comMyntra.comMyntra.comAmazon.inPaytm.comPaytm.comPaytm.comAmazon.inAmazon.in, Paytm.com, Myntra.com7
20Female31-40 yearsGreater Noida201310Above 4 years11-20 timesWi-FiLaptopOthersWindow/windows MobileGoogle chromeSearch EngineSearch Engine11-15 minsCredit/Debit cardsSometimesBetter alternative offerStrongly agree (5)Strongly agree (5)Strongly disagree (1)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly disagree (1)indifferent (3)indifferent (3)Strongly agree (5)Strongly agree (5)indifferent (3)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)indifferent (3)Dis-agree (2)Disagree (2)Agree (4)Strongly agree (5)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.com, Flipkart.comAmazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, SnapdealAmazon.in, Flipkart.com, Snapdeal.comSnapdeal.comsnapdeal.comMyntra.comSnapdeal.comSnapdeal.comPaytm.comSnapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com7
34Female41-50 yaersNoida201308Above 4 yearsLess than 10 timesWi-FiLaptopOthersWindow/windows MobileGoogle chromeSearch EngineDirect URLmore than 15 minsCredit/Debit cardsSometimesBetter alternative offerStrongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)indifferent (3)Dis-agree (2)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)indifferent (3)Strongly agree (5)Strongly agree (5)indifferent (3)Dis-agree (2)Agree (4)Agree (4)indifferent (3)Agree (4)Amazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.inAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.inAmazon.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Snapdeal.comAmazon.inAmazon.in, SnapdealPaytm.comFlipkart.com, Snapdeal.comMyntra.comMyntra.comSnapdeal.comMyntra.comPaytm.comPaytm.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com7
37Female51 years and aboveGurgaon1220182-3 yearsLess than 10 timesWi-FiLaptopOthersWindow/windows MobileGoogle chromeSearch EngineDirect URLmore than 15 minsCredit/Debit cardsSometimesBetter alternative offerStrongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)indifferent (3)Agree (4)Agree (4)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)indifferent (3)Agree (4)Dis-agree (2)indifferent (3)indifferent (3)Dis-agree (2)Agree (4)Amazon.in, Flipkart.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, Snapdeal.comFlipkart.com, Myntra.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Myntra.comAmazon.in, Flipkart.comAmazon.com, Flipkart.com, Myntra.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Myntra.comAmazon.inAmazon.inAmazon.inAmazon.in, Flipkart.comMyntra.comSnapdeal.comsnapdeal.comPaytm.com, Snapdeal.comPaytm.com, Snapdeal.comPaytm.com, Snapdeal.comAmazon.in, Flipkart.comSnapdeal.comFlipkart.comAmazon.in, Flipkart.com, Myntra.com7
42Male21-30 yearsKarnal1320013-4 yearsLess than 10 timesMobile InternetSmartphone5.5 inchesIOS/MacSafariSearch EngineSearch Engine6-10 minsCredit/Debit cardsNeverBetter alternative offerAgree (4)Agree (4)Indifferent (3)Agree (4)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Agree (4)Agree (4)indifferent (3)indifferent (3)Agree (4)indifferent (3)indifferent (3)Agree (4)indifferent (3)Agree (4)Agree (4)Agree (4)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Agree (4)indifferent (3)Agree (4)Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.comAmazon.com, Flipkart.com, Paytm.comAmazon.in, Flipkart.com, Myntra.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Snapdeal.comAmazon.in, Flipkart.com, Myntra.com, SnapdealSnapdeal.comMyntra.com, Snapdeal.comMyntra.comPaytm.comPaytm.comPaytm.comAmazon.in, Flipkart.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.comAmazon.in, Flipkart.com7
12Female21-30 yearsSolan1732121-2 yearsLess than 10 timesMobile InternetSmartphone5.5 inchesAndroidOperaDisplay AdvertsSocial Mediamore than 15 minsCash on delivery (CoD)NeverBetter alternative offerAgree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)Agree (4)indifferent (3)indifferent (3)indifferent (3)Dis-agree (2)indifferent (3)indifferent (3)Dis-agree (2)indifferent (3)Agree (4)Agree (4)indifferent (3)Disagree (2)indifferent (3)Dis-agree (2)Agree (4)indifferent (3)Agree (4)indifferent (3)Amazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.comAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.in5
17Female31-40 yearsGhaziabad2010081-2 years31-40 timesMobile InternetSmartphoneOthersAndroidGoogle chromeSearch EngineVia applicationLess than 1 minCash on delivery (CoD)SometimesChange in priceStrongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Amazon.in, Flipkart.comFlipkart.comAmazon.inAmazon.inFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.comFlipkart.com5
29Female41-50 yaersGhaziabad2010092-3 years31-40 timesMobile InternetSmartphone5.5 inchesAndroidGoogle chromeSearch EngineVia application11-15 minsCash on delivery (CoD)NeverPromo code not applicableStrongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Agree (4)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Strongly agree (5)Amazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.comAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.inAmazon.in5
47Male31-40 yearsMoradabad244001Above 4 years21-30 timesMobile InternetLaptopOthersWindow/windows MobileGoogle chromeSearch EngineDirect URL6-10 minsCredit/Debit cardsSometimesChange in priceStrongly agree (5)Indifferent (3)Agree (4)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Agree (4)Strongly agree (5)Agree (4)Strongly agree (5)Agree (4)Dis-agree (2)indifferent (3)Agree (4)Strongly agree (5)Strongly disagree (1)indifferent (3)Agree (4)Dis-agree (2)Strongly agree (5)indifferent (3)Agree (4)Disagree (2)indifferent (3)Agree (4)Dis-agree (2)Disagree (2)Agree (4)indifferent (3)Amazon.in, Flipkart.com, Paytm.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Snapdeal.comAmazon.in, Flipkart.com, Paytm.com, Snapdeal.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.comAmazon.in, Paytm.comAmazon.in, Flipkart.com, Paytm.comAmazon.com, Flipkart.com, Paytm.comAmazon.in, Patym.comAmazon.in, Flipkart.comAmazon.in, Flipkart.com, Paytm.comAmazon.in, Flipkart.com, Paytm.comAmazon.in, Flipkart.com, Paytm.comAmazon.inAmazon.in, Paytm.comAmazon.in, Flipkart.comFlipkart.comFlipkart.com, Snapdeal.comAmazon.in, Flipkart.comPaytm.com, Snapdeal.comAmazon.inFlipkart.com, Snapdeal.comAmazon.in, Paytm.comAmazon.in5